TEAC
MATI
MEA

CHING
HEMATICS
NINGFULLY

Solutions for
Reaching
Struggling
Learners

David H. Allsopp LouAnn H. Lovin Sarah van Ingen

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# Teaching Mathematics Meaningfully

## Solutions for Reaching Struggling Learners

### Second Edition

by **David H. Allsopp, Ph.D.** University of South Florida Tampa

##### LouAnn H. Lovin, Ph.D.

James Madison University Harrisonburg, Virginia and

##### Sarah van Ingen, Ph.D.

University of South Florida Tampa

Baltimore • London • Sydney

Excerpted from Teaching Mathematics Meaningfully: Solutions for Reaching Struggling Learners, Second Edition by David H. Allsopp, Ph.D.,LouAnn H. Lovin, Ph.D., & Sarah van Ingen, Ph.D.

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**Paul H. Brookes Publishing Co.** Post Office Box 10624 Baltimore, Maryland 21285-0624 USA

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Copyright © 2018 by Paul H. Brookes Publishing Co., Inc. All rights reserved. Previous edition copyright © 2007.

“Paul H. Brookes Publishing Co.” is a registered trademark of Paul H. Brookes Publishing Co., Inc.

Typeset by Absolute Service, Inc., Towson, Maryland. Manufactured in the United States of America by Sheridan Books, Inc., Chelsea, Michigan.

All examples in this book are composites. Any similarity to actual individuals or circumstances is coincidental, and no implications should be inferred.

Purchasers of Teaching Mathematics Meaningfully: Solutions for Reaching Struggling Learners, Second *Edition, are granted permission to download, photocopy, and print the forms and activities found in* Appendices A–D for educational and professional purposes. This material may not be reproduced to generate revenue for any program or individual. Photocopies may only be made from an original book. Unauthorized use beyond this privilege may be prosecutable under federal law. You will see the copyright protection notice at the bottom of each photocopiable page.

**Library of Congress Cataloging-in-Publication Data**

Names: Allsopp, David H., author. | Lovin, LouAnn H., author. | van Ingen, Sarah, author. Title: Teaching mathematics meaningfully: solutions for reaching struggling learners / by David H. Allsopp, Ph.D., University of South Florida, Tampa, LouAnn H. Lovin, Ph.D., James Madison University, Harrisonburg, Virginia, and, Sarah van Ingen, Ph.D., University of South Florida, Tampa. Description: Second edition. | Baltimore: Paul H. Brookes Publishing Co., [2018] | Includes bibliographical references and index. Identifiers: LCCN 2017027635 (print) | LCCN 2017033234 (ebook) | ISBN 9781598575590 (epub) | ISBN 9781598575637 (pdf) | ISBN 9781598575583 (pbk.) Subjects: LCSH: Mathematics—Study and teaching (Elementary) | Mathematics—Study and teaching (Middle school) | Mathematics—Study and teaching (Secondary) | Attention-deficit- disordered youth—Education. | Learning disabled teenagers—Education. Classification: LCC QA13 (ebook) | LCC QA13 .A44 2018 (print) | DDC 371.9/0447—dc23 LC record available at [https://lccn.loc.gov/2017027635](https://lccn.loc.gov/2017027635)

British Library Cataloguing in Publication data are available from the British Library.

2021 2020 2019 2018 2017

10 9 8 7 6 5 4 3 2 1

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# Contents

### About the Activities and Forms ... v

### About the Authors ... vii

### Preface ... ix

### Acknowledgments ... xv

1 Critical Components of Meaningful and Effective Mathematics Instruction for Students
with Disabilities and Other Struggling Learners ... 1

### I Identify and Understand the Mathematics

2 The Big Ideas in Mathematics and Why They Are Important ... 15
3 Children’s Mathematics: Learning Trajectories ... 41

### II Learning the Needs of Your Students and

### the Importance of Continuous Assessment

4 Barriers to Mathematical Success for Students
with Disabilities and Other Struggling Learners ... 69
5 Math Assessment and Struggling Learners ... 97

### III Plan and Implement Responsive Instruction

6 Making Flexible Instructional Decisions:
A Continuum of Instructional Choices for Struggling Learners ... 137
7 Essential Instructional Approaches for
Struggling Learners in Mathematics ... 155
8 Changing Expectations for Struggling Learners: Integrating the Essential Instructional Approaches
with the NCTM Mathematics Teaching Practices ... 217
9 Mathematics MTSS/RTI and Research on
Mathematics Instruction for Struggling Learners ... 239

iii

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iv Contents

10 How to Intensify Assessment and
Essential Instructional Approaches within MTSS/RTI ... 247
11 Intensifying Math Instruction Across Tiers within MTSS:
Evaluating System-Wide Use of MTSS ... 269

## IV Bringing It All Together

12 The Teaching Mathematics Meaningfully Process ... 281

## References ... 299

**Appendices**
A Take Action Activities ... 313
B ARC Assessment Planning Form ... 337
C Peer-Tutoring Practice Activity ... 341
D Using a Think-Aloud ... 343
E Case Study ... 345

## Index ... 375

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# About the Authors

### David H. Allsopp, Ph.D., Professor of Special Education, College of Educa-

tion, University of South Florida, 4202 East Fowler Avenue, EDU 105, Tampa, Florida 32620

Dr. Allsopp is Assistant Dean for Education and Partnerships in addition to being the David C. Anchin Center Endowed Chair and Director of the David C. Anchin Center at the College of Education at the University of South Florida. He is also Professor in the Department of Teaching and Learning—Special Education Programs. Dr. Allsopp holds degrees from Furman University (B.A., Psychology) and the University of Florida (M.Ed., Learning Disabilities; Ph.D., Special Education). Dr. Allsopp teaches at both the undergraduate and doctoral levels, and his scholarship revolves around effective instructional practices, with an emphasis on mathematics, for students with high-incidence disabili- ties (e.g., specific learning disabilities, attention-deficit/hyperactivity disorder, social-emotional/behavior disorders) and other struggling learners who have not been identified with disabilities. Dr. Allsopp also engages in teacher edu- cation research related to how teacher educators can most effectively prepare teachers to address the needs of students with disabilities and other struggling learners. Dr. Allsopp began his career in education as a middle school teacher for students with learning disabilities and emotional/behavioral difficulties in Ocala, Florida. After completing his doctoral studies at the University of Florida, Dr. Allsopp served on the faculty at James Madison University for 6 years. He has been a member of the faculty at University of South Florida since 2001.

### LouAnn H. Lovin, Ph.D., Professor of Mathematics Education, Department of

Mathematics and Statistics, James Madison University, 800 South Main Street, MSC 1911, Harrisonburg, Virginia 22807

Dr. Lovin began her career teaching mathematics to middle and high school stu- dents before making the transition to Pre-K through Grade 8. For over 20 years, she has worked in elementary and middle school classrooms. Then and now, Dr. Lovin engages with teachers in professional development as they implement a student-centered approach to teaching mathematics. At the time of this publica- tion, she focused her research concerning teachers’ mathematical knowledge for teaching on the developmental nature of prospective teachers’ fraction knowledge. She has published articles in Teaching Children Mathematics, Mathematics Teaching *in the Middle School, Teaching Exceptional Children, and the Journal of Mathematics* *Teacher Education. She coauthored the Teaching Student-Centered Mathematics* *Professional Development Series with John A. van de Walle, Karen Karp, and Jenny*

vii

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viii About the Authors

Bay-Williams ( Pearson, 2013). Dr. Lovin is an active member of the National Coun- cil of Teachers of Mathematics, the Association of Mathematics Teacher Education, and the Virginia Council of Teachers of Mathematics.

## Sarah van Ingen, Ph.D., Assistant Professor of Mathematics Education, Depart-

ment of Childhood Education and Literacy, College of Education, University of South Florida, 4202 East Fowler Avenue, EDU 202, Tampa, Florida 33620

Dr. van Ingen codirects the innovative and nationally recognized Urban Teacher Residency Partnership Program. In this role, she partners with Hillsborough County Public Schools’ teachers and administrators to improve the learning of both elementary students and prospective elementary teachers. She also teaches courses in mathematics education and teacher preparation at the undergraduate, masters, and doctoral levels. Dr. van Ingen holds a bachelor’s degree from St. Olaf College, a master of arts in teaching from the University of Tampa, and a doctoral degree from the University of South Florida. She was elected into membership in Phi Beta Kappa and was the recipient of the prestigious STaR fellowship in mathematics education. She taught mathematics for many years in urban, inclu- sive middle school classrooms before her work at the university level. Dr. van Ingen’s research agenda lies at the intersection of equitable math- ematics education and clinically rich teacher preparation. Her research interests include teachers’ use of research to inform practice, the use of mathematics con- sultations to meet the mathematics learning needs of students with exceptionali- ties, and the implementation of integrated STEM lessons in K–5 classrooms. She regularly publishes and presents her research to audiences who work in math- ematics education, special education, and teacher preparation. She is the principal investigator and coprincipal investigator for federally funded research and is active in leadership in her professional organizations.

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# Case Study

This appendix provides a case study in which two teachers, Ms. Thompson and Mr. Hart, apply the Teaching Mathematics Meaningfully Process with their strug- gling learners. The teachers implement each step of the process. The contents are organized as follows:

#### •	 Purpose

•	 Meet	Ms.	Thompson,	Mr.	Hart,	and	Their	Students

#### •	 Identify	and	Understand	the	Mathematics

#### •	 Continuously	Assess	Students

#### •	 Determine	Students’	Math-Specific	Learning	Needs

•	 Determine	Struggling	Learners’	Specific	Learning	Needs

#### •	 Plan	and	Implement	Responsive	Instruction

#### •	 Take	Action

### PURPOSE

The purpose of this case study is to provide you with a way to visualize how two teachers, an elementary general education math teacher and a special edu- cation	teacher,	might	work	collaboratively	to	utilize	the	Teaching	Mathematics Meaningfully	Process.	We	first	introduce	you	to	the	teachers	and	their	students. Then,	we	describe	how	the	two	teachers	implement	each	of	the	five	components of	the	process.	Our	goal	is	to	provide	you	with	an	applied	context	for	making sense	of	this	process	and	to	illustrate	the	types	of	decision	making	that	will	help you	design	instruction	and	interventions	that	are	responsive	to	your	students’ needs. Throughout the case study, marginal icons are included to indicate activities and	decisions	that	illustrate	specific	Essential	Instructional	Approaches	(EIAs), National	 Council	 of	 Teachers	 of	 Mathematics	 (NCTM)	 Effective	 Mathemat- ics	Teaching	Practices	(MTPs),	and	anchors	for	intensifying	instruction	within multi-tiered	systems	of	supports/response	to	intervention	(MTSS/RTI).	Each icon	includes	a	number	indicating	which	EIA,	MTP,	or	anchor	for	intensifying instruction	that	it	denotes.	A	key	to	these	icons	is	provided	next.	Use	the	icons as you read to see how various elements of instruction discussed throughout the book	are	applied	and	integrated	within	the	teachers’	classroom	planning	and instruction.

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| Key |  |
| --- | --- |
| Essential Instructional Approaches (EIAs)
EIA | 1. Teach systematically.
2. Develop and explicitly share learning intentions.
3. Make instructional decisions that are student-centered and based on meaningful data.
4. Teach mathematical fluency.
5. Teach the language of mathematics through vocabulary development and discourse.
6. Provide many response opportunities with feedback.
7. Emphasize use of mathematical practices.
8. Utilize visuals.
9. Use different appropriate grouping structures.
10. Teach students to be strategic in their approach to mathematics.
11. Situate mathematics within meaningful contexts that help students to develop abstract reasoning. |
| NCTM(2014b) Effective Mathematics Teaching Practices(MTPs)
MTP | 1. Establish mathematics goals to focus learning
2. Implement tasks that promote reasoning and problem solving
3. Use and connect mathematical representations
4. Facilitate meaningful mathematical discourse
5. Pose purposeful questions
6. Build procedural fluency from conceptual understanding
7. Support productive struggle in learning mathematics
8. Elicit and use evidence of student thinking |
| Anchors for Intensifying Instruction within MTSS/RTI(IAs)
IA | 1. Purposeful Content Focus
2. Formative Assessment—Identifying What Students Know, Don’t Know,and Why
3. Explicitness and Teacher Direction
4. Teach Math Metacognition
5. Opportunities to Respond
6. Amount of Time
7. Teacher-Student Ratio |

MEET MS. THOMPSON, MR. HART, AND THEIR STUDENTS
Ms.	Thompson	is	an	elementary	general	education	teacher	who	teaches	fifth	grade.	
She	has	been	teaching	elementary	school	students	for	8	years;	she	spent	5	of	those	
years	teaching	fourth	and	fifth	grade.	She	has	22	students	(10	boys	and	12	girls)	in	
her	class.	Fifteen	are	white/Caucasian,	five	are	African	American,	one	is	Mexican	
American,	and	one	is	Korean	American.	Ms.	Thompson’s	class	includes	five	students	identified	as	having	disabilities.	Four	are	identified	as	having	learning	
disabilities	and	receive	special	education	services	through	the	Individuals	with	
Disabilities	Education	Improvement	Act	(IDEA)	of	2004	(PL	108-446).	One	is	identified	as	having	attention-deficit/hyperactivity	disorder	(ADHD)	and	is	supported	
through	a	Section	504	accommodation	plan.	In	general,	the	students	not	identified	with	disabilities	perform	at	grade	level	or	above.	Three	additional	students,

MEET MS. THOMPSON, MR. HART, AND THEIR STUDENTS

Excerpted from Teaching Mathematics Meaningfully: Solutions for Reaching Struggling Learners, Second Edition

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Case Study 347

who	are	not	identified	as	having	disabilities,	sometimes	struggle	with	math	and reading.	Two	of	these	students	are	English	language	learners. Mr.	Hart	is	a	special	education	teacher	who	works	with	Ms.	Thompson	in	a consultation and facilitation role, helping her support the needs of her students with	disabilities,	particularly	in	reading	and	mathematics.	Mr.	Hart	co-teaches with	Ms.	Thompson	during	core	instruction	and	is	responsible	for	providing intensive	instructional	support	for	students	who	have	the	most	difficulty	in	meet- ing	core	standards.	Mr.	Hart	also	provides	input	to	the	teams	for	Grades	3–5 regarding supplemental instructional support for students receiving exceptional student	education	(ESE)	services. In	Ms.	Thompson’s	class,	the	morning	begins	with	a	60-minute	block	of	core mathematics	instruction,	followed	by	a	120-minute	reading	or	English	language arts	block.	During	an	additional	50-minute	block	after	lunch,	all	students	engage in some type of supplemental or intensive instruction or enrichment for reading, mathematics,	or	both.	Math	standards	in	this	state	are	closely	aligned	with	the Common	Core	State	Standards	(CCSS).

## IDENTIFY AND UNDERSTAND THE MATHEMATICS

For the Identify and Understand the Mathematics component, you will read how Ms. Thompson and Mr. Hart prepared themselves to teach the mathematical content.	In	essence,	we	pull	back	the	curtain	to	show	you	the	behind-the-scenes preparation that equips teachers with the mathematical understanding necessary for this process. Ms. Thompson and Mr. Hart go through three stages for this first	component.	First,	they	identify	the	relevant	mathematics	standards.	Second, they	look	for	and	learn	from	an	available	trajectory	that	describes	how	students progress through various stages of learning related to the standards. Third, they consider the role mathematical practices have in the learning process with respect to	the	identified	content.

## Math Standard

Ms.	Thompson	and	Mr.	Hart’s	first	task	is	to	identify	the	content	that	they	will	be teaching.	Based	on	the	curriculum	map	for	fifth	graders	in	their	district,	they	are planning	to	teach	a	unit	on	multiplying	multi-digit	whole	numbers	using	the	stan- dard	algorithm.	The	relevant	CCSS	standard	for	fifth	grade	is	as	follows	(National Governors	Association	[NGA]	Center	for	Best	Practices	&	Council	of	Chief	State School	Officers	[CCSSO],	2010).

CCSS.MATH.CONTENT.5.NBT.B.5

Fluently	multiply	multi-digit	whole	numbers	using	the	standard	algorithm.

In	thinking	about	teaching	this	standard,	Ms.	Thompson	knows	that	she and	Mr.	Hart	need	to	unpack	the	included	content.	She	also	knows	they	need to	consider	how	this	content	connects	to	what	students	have	previously	been exposed	to	in	fifth	grade	as	well	as	in	earlier	grades	in	order	to	ensure	students have	the	prerequisite	knowledge	to	engage	successfully	with	this	content.	Keep- ing	in	mind	where	their	students	will	be	headed	in	future	mathematics	lessons, Ms.	Thompson	and	Mr.	Hart	also	look	to	related	standards,	both	within	the

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348 Appendix E

grade	level	and	beyond,	to	help	them	be	purposeful	in	making	decisions	about instructional	tasks	and	about	how	to	leverage	students’	current	mathematical ideas. Ms.	Thompson	thinks	about	how	these	standards	connect	to	other	fifth-grade standards,	including	what	students	have	already	been	exposed	to	this	year	and what	they	will	be	expected	to	learn	later	in	the	year,	and	she	shares	her	thoughts with	Mr.	Hart.	With	respect	to	Number	and	Operations	in	Base	Ten,	their	stu- dents	have	worked	on	the	following	standard	to	further	their	understanding	of the	place	value	system	(NGA	Center	for	Best	Practices	&	CCSSO,	2010):

CCSS.MATH.CONTENT.5.NBT.A.1

Recognize	that	in	a	multi-digit	number,	a	digit	in	one	place	represents	10	times	as much	as	it	represents	in	the	place	to	its	right	and	1/10	of	what	it	represents	in the place to its left.

Ms.	Thompson	notes	that	the	remaining	fifth-grade	standards	for	Number and Operations in Base Ten are related to two other mathematical ideas:

1)	developing	division	strategies	with	whole	numbers	and	2)	developing	the	four operations	(addition,	subtraction,	multiplication,	and	division)	with	decimals	to hundredths using place-value ideas, properties of operations, and relationships between	the	various	operations. Ms.	Thompson	and	Mr.	Hart	look	at	what	their	students	were	exposed	to in	fourth	grade	related	to	multiplication	of	multi-digit	numbers.	In	particular, they	consider	the	following	fourth-grade	CCSS	standard	(NGA	Center	for	Best Practices	&	CCSSO,	2010): CCSS.MATH.CONTENT.4.NBT.B.5 Multiply	a	whole	number	of	up	to	four	digits	by	a	one-digit	whole	number,	and multiply	two	two-digit	numbers,	using	strategies	based	on	place	value	and	the properties	of	operations.	Illustrate	and	explain	the	calculation	by	using	equa- tions, rectangular arrays, and/or area models. Ms.	Thompson	knows	the	standard	algorithm	for	multi-digit	multiplication	is one	of	the	most	difficult	algorithms;	students	are	very	error	prone	when	using	this algorithm,	especially	when	they	have	not	had	ample	opportunities	to	work	with multiplication	strategies	based	on	place-value	concepts	and	representations	such as area models. Both Ms. Thompson and Mr. Hart are aware of the importance of	developing	students’	procedural	knowledge	from	conceptual	understanding (NCTM,	2014b).	This	leads	them	to	recognize	that	before	they	work	to	help	stu- dents develop the standard multi-digit multiplication algorithm, they will need to revisit this related fourth-grade standard to ensure students have developed a rigorous conceptual understanding of multiplication. With	the	insights	Ms.	Thompson	and	Mr.	Hart	have	developed	by	considering not	only	the	target	standard	but	also	how	it	relates	to	other	standards	from	the previous	and	current	grade	levels,	they	are	establishing	a	better	sense	about	how to	build	on	students’	prior	knowledge	to	understand	and	apply	the	new	fifth- grade multiplication standard. Mr. Hart appreciates the way Ms. Thompson goes deeper	in	thinking	about	the	content	and	related	learning	intentions	they	have	for their	students,	including	connecting	the	math	their	students	will	be	learning	to
Excerpted from Teaching Mathematics Meaningfully: Solutions for Reaching Struggling Learners, Second Edition by David H. Allsopp, Ph.D.,LouAnn H. Lovin, Ph.D., & Sarah van Ingen, Ph.D.

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that	which	they	have	already	experienced.	This	helps	Mr.	Hart	think	about	what	
prerequisite	content,	both	at	the	grade	level	and	below	it,	he	will	need	to	emphasize	when	he	provides	more	intensive	instruction	to	his	students.	He	knows	this

content must connect to core math standards.
Related Learning Trajectory

Related Learning Trajectory
Ms.	Thompson	knows	the	usefulness	of	learning	trajectories	in	providing	a	road	
map	for	how	student	thinking	progresses	and	how	to	sequence	learning	experiences	to	maximize	learning	of	a	mathematical	concept	or	skill.	She	searches	
online	for	multiplication	trajectories	and	finds	one	that	describes	a	progression	
of	students’	multiplicative	reasoning	and	strategies.	Table	E.1	includes	the	more	
sophisticated	ways	of	reasoning	multiplicatively	in	this	learning	trajectory,	more	
likely	to	be	exhibited	by	older	elementary	students.	(For	the	full	trajectory,	see	
the	section	on	multiplicative	reasoning	in	Chapter	3.)	Ms.	Thompson	is	also	
aware	of	several	learning	trajectories	she	can	find	online	when	she	is	working	
on	 other	 mathematical	 concepts,	 such	 as	 https://www.turnonccmath.net	 and	
http://www.numeracycontinuum.com/continuum-chart.

Table E.1. The upper levels of multiplicative reasoning demonstrated by students

| Level 3: Transitional multiplicative strategies(see Figure E.1a) | At this level, students demonstrate an increasingly robust capability of reasoning with multiples as their use of groups becomes more sophisticated. They no longer have to count each group by ones. Strategies such as using area models and open arrays are used to reason through multiplicative situations. |
| --- | --- |
| Level 3.3: Repeated abstract composite grouping | Students are aware that a number can be both composite and unitary at the same time, but at this level, students can only think of one of the numbers in a multiplication situation (one of the factors) in this way. For example, with $3\times4$, students are able to consider the 4 as both a composite unit and unitary at the same time, but they only think of the 3 as unitary—as a way to count the number of fours. They can see the 4 as consisting of 4 single units (unitary) but can also see (or make sense of) the 4 as one “thing” (a composite unit).For $3\times4$, they would reason $4+4+4$ (4 three times). |
| Level 4: Multiplicative strategies(see Figure E.1b) | At this point, students can reason about multiplication and division using the more sophisticated strategies that rely primarily on numerical representations such as partial products,the distributive property,and doubling and halving of quantities. |
| Level 4.1: Multiplication and division as operations | At this level, students can coordinate two composite units in the context of multiplication or division.For example,with a task such as six groups of four,the student is aware of both6and4as abstract composite units.The 6 can be used as a count of the groups of four but can also be considered its own composite unit.As a consequence,the commutative property of multiplication makes sense to the student.The student is able to immediately recall and quickly derive many of the basic facts for multiplication and division. |

---

| Later transitional strategies |  |  |  |
| --- | --- | --- | --- |
| Area model(less reliant on needing to see every square unit) | Open area model |  | Open area model |
| 4×6=244 | 7×12=70+14=847 |  | 23×45=800+120+100+15=1035405203 |
|  | 70 | 14 | 800100 |
|  | 12015 |  |  |

7\times12=70+14=84

4\times6=24

120+100+15=1035

23\times45=800+

b

| Multiplicative strategies |  |  |
| --- | --- | --- |
| Known or derived facts8×6=48because4×6=24and we need to double that | Commutative property6×8=8×6 | Powers of 103×500=3×50×10=3×5×10×10=15×100=1500 |
| Associative property(4×6)×5=4×(6×5)=4×30=120 | Doubling and halving18×3=9×6=54halfof183doubled | Distributive property8×12=8(10+2)=8(10)+8(2)=80+16=96 |
| Partial products23$\frac{x\cdot45}{15}$ (5×3)100 (5×20)120 (40×3)$\frac{+800}{1035}$ (40×20) | Standard algorithm1$\frac{1}{2}$23$\frac{x\cdot45}{115}$$\frac{+920}{1035}$ |  |

\cdot4\times6=24\cdot

6\times8=8\times6

1035 1035
Figure E.1. Examples of strategies students use to engage in multiplicative reasoning: later transitional strategies (a) and

3\times500=3\times50\times10

(4\times6)\times5

18\times3=9\times6=54

=120

\begin{array}{c}{\frac{\times\ 5}{1\ 1}}\\ {\frac{\ 1\ 020}{\ 10\ 335}}\end{array}

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Case Study 351

From	studying	this	trajectory,	Ms.	Thompson	and	Mr.	Hart	come	to	under- stand that students who are ready to develop the standard algorithm for multi- digit	multiplication	should	be	using	the	later	(more	developed)	multiplicative strategies	seen	in	Level	4	of	the	learning	trajectory,	which	are	based	on	the	various properties	and	on	strategies	such	as	doubling	and	halving	(see	Figure	E.1B).	They should	also	already	be	proficient	in	using	the	partial	products	algorithm.	Students who	are	not	there	yet	may	be	using	the	later	transitional	strategies	that	rely	on	an area	model,	or	they	may	just	be	developing	proficiency	with	the	partial	products algorithm.	Some	may	also	exhibit	even	less	sophisticated	reasoning	that	relies	on skip	counting	or	inefficient	additive	strategies.	(See	Chapter	3	for	information	per- taining	to	these	lower	levels	of	reasoning.)	Ms.	Thompson	and	Mr.	Hart	decide	to use	this	learning	trajectory	to	help	them	identify	the	level	of	sophistication	of	their students’	reasoning.	For	students	whose	assessment	results	indicate	less	sophisti- cated	reasoning,	interventions	will	need	to	be	used.

## Math Practices

Ms.	Thompson	and	Mr.	Hart	remember	that	their	students	not	only	need	to	learn the	math	content	within	the	target	standards	but	also	need	to	learn	how	to	mean- ingfully	engage	with	this	content	in	different	ways	through	the	Common	Core Eight	Standards	for	Mathematical	Practice	(see	Chapters	2	and	7).	Textbox	E.1 shows these practices as a reference. As	Ms.	Thompson	thinks	about	each	of	the	math	practices,	she	realizes	many could	be	appropriately	utilized	in	conjunction	with	the	target	standard.	To	make things	more	manageable,	she	identifies	two	she	wants	to	explicitly	emphasize within	her	instruction.	(These	practices	are	bold	in	Textbox	E.1.)	Ms.	Thompson determines that one practice, Look for and make use of structure	(NGA	Center	for	Best Practices	&	CCSSO,	2010),	fits	well	because	her	students	will	be	learning	to	mul- tiply	multi-digit	whole	numbers	by	relating	their	understanding	of	area	models, the	distributive	property,	and	place	value	to	the	standard	algorithm.	She	chooses a second practice, Construct viable arguments and critique the reasoning of others	(NGA Center	for	Best	Practices	&	CCSSO,	2010),	because	she	wants	to	help	her	students

**Textbox E.1.** Common Core Eight Standards for Mathematical Practice

1. Make sense of problems and persevere in solving them.
2. Reason abstractly and quantitatively.
3. **Construct viable arguments and critique the reasoning of others.**
4. Model with mathematics.
5. Use appropriate tools strategically.
6. Attend to precision.
7. **Look for and make use of structure.**
8. Look for and express regularity in repeated reasoning. From Common Core State Standards Initiative. (2010). Common Core State Standards for mathematics. Retrieved from [http://www.corestandards](http://www.corestandards) .org/assets/CCSSI_Math%20Standards.pdf; reprinted by permission. © Copyright 2010. National Governors Association Center for Best Practices and Council of Chief State School Officers. All rights reserved.
Excerpted from Teaching Mathematics Meaningfully: Solutions for Reaching Struggling Learners, Second Edition by David H. Allsopp, Ph.D.,LouAnn H. Lovin, Ph.D., & Sarah van Ingen, Ph.D.

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352 Appendix E

become	more	comfortable	and	proficient	with	engaging	in	discourse,	appropri- ately	listening	to	and	critiquing	their	peers’	arguments	and	reasoning. Because the standard multiplication algorithm requires a level of precision in order to ensure the proper digits are multiplied together and recorded appropri- ately, Mr. Hart suggests that they also emphasize with their students the practice of Attend to precision	(NGA	Center	for	Best	Practices	&	CCSSO,	2010)	when	they write	down	the	procedure.	Mr.	Hart	knows	this	will	be	an	important	point	of emphasis	for	several	students	who	tend	to	be	more	impulsive	and	struggle	with self-regulation strategies related to organization and time management during independent	math	work.

## CONTINUOUSLY ASSESS STUDENTS

For the Continuously Assess Students	component,	Ms.	Thompson	and	Mr.	Hart	work collaboratively	to	assess	students’	specific	learning	needs	related	to	the	identified content standards and mathematical practices. First, Ms. Thompson reviews stu- dents’	available	benchmark	assessment	data,	using	them	to	project	which	areas related	to	multiplication	of	whole	numbers	might	require	further	formative	infor- mal assessment. Then, Ms. Thompson and Mr. Hart create several assessment tasks	to	get	at	these	areas.	Last,	they	reflect	on	their	students	and	possible	ways to	engage	them	in	responding	to	the	assessment	tasks	so	that	they	can	best	deter- mine	what	their	students	know,	don’t	know,	and	why.

## Review Available Benchmark Assessment Data

Ms.	Thompson	and	Mr.	Hart’s	school	district	collects	grade-level	benchmark	data three	times	during	the	school	year.	The	multiple-choice	benchmark	assessments relate	directly	to	the	state	standards	and	the	end-of-year	high-stakes	test.	Each math	benchmark	assessment	is	completed	online	and	evaluates	where	students are	in	relation	to	the	standards	they	have	been	exposed	to	when	the	benchmark assessment	is	administered	(early	September,	early	December,	and	mid-February). Each	typically	takes	approximately	45–60	minutes	to	complete.	School	personnel use	the	first	benchmark	assessment	in	early	September	to	make	initial	decisions about	supplemental	and	intensive	tiered	instruction. The	school	also	utilizes	a	commercial	online	curriculum-based	measurement (CBM)	progress	monitoring	tool	that	targets	particular	grade-level	math	concepts and	skills.	These	measures	are	administered	more	often	than	the	benchmark assessments—every	4	weeks	to	all	students.	They	target	a	more	specific	subset of	grade-level,	CCSS	domain–specific	math	concepts	and	skills	(determined	by grade-level	teams).	Each	CBM	assessment	includes	approximately	20–25	multiple- choice	items	and	typically	takes	students	30	minutes	to	complete.	Students	receiv- ing supplemental or intensive math instruction in addition to core instruction are administered	shorter,	more	focused,	and	more	frequent	CBM	progress	monitor- ing	probes	as	needed	during	their	supplemental	and	intensive	instructional	time. Given	that	it	is	late	October,	Ms.	Thompson	has	data	from	the	beginning	year benchmark	assessment	and	two	CBM	assessments	for	all	students	in	her	class.	The school’s	first	benchmark	assessment	focused	primarily	on	essential	fourth-grade concepts	and	skills	that	are	prerequisites	for	success	in	fifth	grade.	Ms.	Thompson

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|  | Most | Some | Few |
| --- | --- | --- | --- |
| Appears to know or understand | Has a conceptual understanding of multiplication as equal groupsCan use repeated addition to represent multiplicationUses known multiplication facts to derive unknown factsCan use an open area model to represent double-digit by double-digit multiplication and decomposes the tens and ones in the modelCan explain and appropriately utilize the commutative, associative,and distributive propertiesUses partial products(without a visual model)to solve double-digit multiplication problems | Uses the powers of 10 when appropriate to solve double-digit multiplication problems | Flexibly uses strategies such as doubling and halving to solve double-digit multiplication problemsUses partial products(with a visual model)to solve double-digit multiplication problemsUses an area model that shows all the square units to represent double-digit by double-digit multiplication and decomposes the tens and ones in the model |

multiplication	problems
Figure E.2. Ms. Thompson’s summary of what her 22 students know, based on benchmark and curriculum-based measurement data through late October and organized by most students (80% +), some students (10%–15%), and few students

reviews	benchmark	results	related	to	prerequisites	for	the	target	math	content.	For	
her students currently receiving supplemental and intensive math support, she 
also has access to the progress monitoring data generated more frequently.

her students currently receiving supplemental and intensive math support, she 
also has access to the progress monitoring data generated more frequently.
Based	on	these	data,	Ms.	Thompson	creates	a	simple	chart	(see	Figure	E.2)	to	
help	her	visualize	what	her	students	appear	both	to	know	and	not	know	with	respect	
to	key	prerequisite	concepts	and	skills	related	to	whole	number	multiplication.

to	key	prerequisite	concepts	and	skills	related	to	whole	number	multiplication.

Assessment Tasks
Ms.	Thompson	and	Mr.	Hart	utilize	the	information	from	Ms.	Thompson’s	benchmark	and	CBM	summary	table	to	think	about	which	kinds	of	formative	assessment	to	create.	They	aim	to	get	a	more	in-depth	understanding	of	their	students’	
thinking	and	level	of	understanding	with	respect	to	prerequisite	concepts	and	
skills	that	are	foundational	to	multi-digit	multiplication.	Based	on	the	benchmark	assessment	data,	Ms.	Thompson	and	Mr.	Hart	determine	that	the	formative	assessment	should	focus	on	three	primary	areas:	flexible	use	of	multiplicative	
strategies	such	as	doubling,	appropriate	use	of	the	properties	of	multiplication	
(commutative,	associative,	distributive),	and	accurate	use	of	the	partial	products	
algorithm	(numerical	use	of	partial	products).	They	agree	it	would	be	most	efficient	to	develop	a	short	assessment	probe	addressing	these	concepts	and	skills,	to

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The	two	teachers	want	to	be	sure	that	there	are	multiple	tasks	for	each	area	
of focus so that there are enough items to ensure they get an accurate appraisal 
of	what	students	know	and	don’t	know.	(See	Chapter	5	for	more	about	developing	informal	formative	assessments.)	Furthermore,	they	want	to	be	sure	the	tasks	
assess	student	engagement	in	their	targeted	mathematical	practices:	1)	Construct 
viable arguments and critique the reasoning of others,	2)	 Look for and make use of 
structure,	and	3)	Attend to precision	(NGA	Center	for	Best	Practices	&	CCSSO,	2010).	
They	decide	to	include	some	items	that	contain	word	problems	(contextualized	
and	applied	problems)	and	some	items	that	do	not	(see	Textbox	E.2).	To	this	end,	
they	create	six	noncontextualized	tasks:	two	requiring	knowledge	of	multiplication	properties,	two	asking	students	to	use	flexible	multiplication	strategies,	and

Textbox E.2.  Formative assessment created by Ms. Thompson and 
Mr. Hart to appraise what students know and don’t know 
about prerequisite multiplication concepts and skills

about prerequisite multiplication concepts and skills

1. Use drawings or manipulatives to demonstrate why 3 × 4 = 4 × 3.
2. Darran thinks 5 × (2 × 6) is not the same as (5 × 2) × 6. Please explain why you agree or

2. Darran thinks 5 × (2 × 6) is not the same as (5 × 2) × 6. Please explain why you agree or 
disagree with Darran.
3. If you did not know how to multiply 5 × 14, which set of facts would help you find the

5\times1+5\times4

5\times10+5\times4

5\times1\times4

5\times10\times4

5 × 10 × 4
4. Xavier thinks that the product of 18 × 5 is the same as the product of 9 × 10. Do you

agree or disagree with him? Explain why you agree or disagree.
5. Xiao and Maria both used partial products to solve 34 × 8. Look at their solutions. 
Explain why you think each solution is correct or incorrect:

lem. (For students who finish early, ask them to solve using a different multiplication 
strategy.)
8. Niki collects stamps. She wants to buy an album to hold her stamps. One album holds 
12 stamps on a page and contains 22 pages. Another album holds 15 stamps on a page 
and contains 18 pages. Niki wants to buy the album that holds more stamps. Which

| Xiao: | Maria: |
| --- | --- |
| 34 | 34 |
| $\frac{\times8}{32}$ | $\frac{\times8}{32}$ |
| +240/272 | +24/56 |

+ 240 + 24
272

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Case Study 355

two requiring use of the partial products algorithm. They also include two word problems	that	require	students	to	apply	relevant	multiplication	strategies.	The two	teachers	estimate	that	it	will	take	most	students	between	20	and	30	minutes to complete the assessment.

## Student Responses

As	students	finish,	Ms.	Thompson	and	Mr.	Hart	review	students’	responses	to	the informal	assessment	to	get	a	sense	of	what	they	know	and	what	they	don’t	know, and	a	sense	of	possible	error	patterns	that	may	indicate	students’	misconceptions about	important	underlying	math	concepts.	Figure	E.3	shows	Ms.	Thompson’s and	Mr.	Hart’s	summary	of	their	students’	responses,	which	they	will	use	to determine	their	students’	specific	mathematical	learning	needs	and	then	to	plan and implement responsive instruction.

## DETERMINE STUDENTS’ MATH-SPECIFIC LEARNING NEEDS

For the Determine Students’ Math-Specific Learning Needs component, Ms. Thompson and	Mr.	Hart	use	student	response	data	to	determine	their	students’	math-	specific learning needs. This involves three important activities, which all rely on the evalu- ation	of	student	responses	to	the	assessment	tasks.	First,	based	on	the	responses, Ms.	Thompson	identifies	students’	positions	on	the	related	learning	trajectory (from	the	Identify and Understand the Mathematics	component).	She	then	determines students’	misconceptions,	as	well	as	what	students	know	(knowledge	strengths)	and don’t	know	(knowledge	gaps)	with	respect	to	the	identified	mathematics.	Finally, Ms. Thompson and Mr. Hart determine together which mathematical ideas they need	to	target	specifically	that	will	support	students	to	further	develop	their	math- ematical	knowledge	and	skills	along	the	identified	learning	trajectory	and	toward the	identified	standard(s).

## Identify Each Student’s Position on the Identified Learning Trajectory

Based	on	students’	responses,	the	majority	of	students	appear	to	be	functioning	at Level	4	of	the	learning	trajectory,	meaning	they	can	demonstrate	reasoning	about multiplication using the more sophisticated multiplicative reasoning strategies, which rely primarily on numerical representations that incorporate properties, such	as	the	associative	and	distributive	properties.	Most	do	not	rely	on	the	area model to use the partial products algorithm. Some	students	have	demonstrated	a	limited	understanding	of	key	areas,	such as	the	prompted	use	of	multiplicative	strategies	such	as	doubling	and	halving and reliance on open area models to accurately complete the partial products algorithm. Based on this evidence gathered through assessment, Ms. Thompson judges	these	students	to	be	functioning	at	Level	3	of	the	trajectory. Two	students’	assessment	performance	indicates	they	are	likely	functioning at	a	lower	level	of	the	learning	trajectory,	possibly	Level	2,	because	they	need	to rely	on	using	an	area	model	showing	all	the	square	units	to	make	sense	of	the	par- tial products algorithm. They demonstrated a solid understanding of the associa- tive	and	commutative	properties	but	not	the	distributive	property,	so	they	could be	making	the	transition	from	Level	2	to	Level	3.

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| Teacher:Ms.ThompsonClass/period:1st period |  |  |  |
| --- | --- | --- | --- |
| Areas for the assessment | On target(Write names.) | Limited(Write names.) | Insufficient(Write names.) |
| Flexible use of multiplicative strategies such as doubling(Level 4)Task 4 | Most students | Tommy S.Jerome B.Felisha T.NOTES:The students are able to use doubling or halving when prompted but at a very slow pace. | Steve A.Tamika W.NOTES:The students use calculation,not doubling or halving,to determine equivalence(e.g.,uses18×5and9×10,sees they are both90).The students are unable to use the strategy,evenwhen prompted. |
| Appropriate use of the properties of multiplication(commutative,associative,distributive)(Level 4)Tasks1,2,and3 | Commutative property:All students |  |  |
| Associative property:All students |  |  |  |
| Distributive property:Most students |  | Distributive property:Steve A.Tamika W.NOTES:The students use multiplication instead of addition(e.g.,5×14=5×10×4). |  |
| Accurate use of the partial products algorithm(numerical use of partial products)(Level 4)Tasks5,6,7,and8 | Most students | Tommy S.Jerome B.Felisha T.NOTES:The students are able to recognize when partial products are used correctly(Task5)but not able to use the strategy accuratelywithout relying on an open area model(with and without contexts)(Tasks6,7,and8). | Steve A.Tamika W.NOTES:The students are unable to accurately identifyor use the partial products algorithm,evenwhen usingan open area model.WhenMr.Hart sketched an openarea model for Task5,these students seemed confused as to what the dimensions of thearea model represented.Theywanted to put those numbersinside the area model,notalong the edges.They mayneed to rely on an area model thatshows every square unit. |

Excerpted from Teaching Mathematics Meaningfully: Solutions

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Case Study 357

## Evaluate Prior Knowledge, Strengths and Gaps, and Misconceptions

Most students indicated a readiness for learning the standard algorithm for multi-digit	multiplication	because	they	could	reason	using	the	partial	products algorithm in a purely numerical representation and explain their reasoning. They	could	also	demonstrate	a	flexible	use	of	multiplicative	strategies,	including doubling	and	halving,	as	well	as	the	associative,	commutative,	and	distributive properties of multiplication. Three	students	could	appropriately	use	the	properties	of	multiplication	but	still relied on open area models to support their reasoning with the partial products algo- rithm.	They	also	struggled	with	using	and	knowing	when	to	use	a	doubling	and halving	strategy.	It	appears	these	students	rely	heavily	on	decomposing	multi-	digit numbers	based	on	place	value,	so	they	are	not	looking	for	alternative	number	rela- tionships	to	exploit.	Although	this	strategy	will	help	enhance	their	number	and	com- putation	sense,	it	should	not	hinder	their	progress	toward	becoming	fluent	with	the partial products algorithm and the standard algorithm for multi-digit multiplication. Two students demonstrated appropriate use of the associative and commutative properties,	but	they	demonstrated	issues	with	the	distributive	property	as	well	as	the partial products algorithm, even when supported with open area models. Based on their	confusion	about	what	the	numbers	represented	when	Mr.	Hart	used	an	open area	model	to	illustrate	the	partial	products,	it	appears	they	may	have	some	knowl- edge	gaps	in	the	concept	of	area.	These	two	students	also	struggled	with	knowing when	and	how	to	use	doubling	and	halving	strategies.	For	all	five	of	these	students, Ms.	Thompson	and	Mr.	Hart	noted	that	they	want	to	think	about	how	to	address	the different	knowledge	and	skill	gaps	as	they	plan	and	implement	instruction.

## Target Math Ideas for Instruction

For most of the students, Ms. Thompson and Mr. Hart will target the mathemati- cal	ideas	closely	associated	with	the	identified	math	standard:	 Fluently multiply *multi-digit whole numbers using the standard algorithm	(NGA	Center	for	Best	Practices* &	CCSSO,	2010).	In	particular,	they	want	to	reinforce	the	relationship	between the partial products algorithm, the area model, and the standard algorithm. Embedded	in	these	three	constructs	is	the	important	idea	of	the	distributive	prop- erty.	Two	students	in	particular,	Steve	A.	and	Tamika	W.,	demonstrated	insuf- ficient	evidence	of	appropriate	use	of	the	distributive	property,	so	Ms.	Thompson and	Mr.	Hart	make	note	that	they	need	to	include	this	property	as	a	target	math idea	for	these	students.	Given	the	significance	of	this	property	to	multiplication, they	decide	to	also	include	it	as	a	target	idea	for	whole-class	instruction.	In	addi- tion,	Ms.	Thompson	and	Mr.	Hart	note	that	they	will	need	to	help	Steve	A.	and Tamika	W.	enhance	their	understanding	of	area	before	they	can	be	expected	to work	productively	on	multiplication	in	general.

## DETERMINE STRUGGLING LEARNERS’ SPECIFIC LEARNING NEEDS

For the Determine Struggling Learners’ Specific Learning Needs component, Ms.	Thompson	and	Mr.	Hart	work	to	determine	the	kinds	of	barriers	that	are likely	affecting	their	struggling	learners	and	making	learning	mathematics	dif- ficult.	They	first	identify	the	mathematics	performance	traits	they	have	observed

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with	their	struggling	learners,	then	focus	on	determining	the	possible	learning	
characteristics	and	curriculum	factor	barriers	that	may	be	contributing	to	these

Identify Observed Performance Traits

Identify Observed Performance Traits
Using	the	form	illustrated	in	Figure	E.4,	Ms.	Thompson	and	Mr.	Hart	note	the	
performance	traits	they	have	observed	with	most	or	some	students	in	the	first	
period class or with individual students. They note that most students demonstrate	knowledge	and	skills	for	some	math	domains	and	not	others	or	for	certain	
standards within particular math domains and not others. Therefore, for that performance	trait,	they	check	off	the	box	labeled	Most.	They	also	note	that	certain	
groups of students have consistently demonstrated two other performance traits, 
“The	student	is	able	to	compute	or	engages	in	problem	solving	accurately	but	at	a	
very	slow	pace”	and	“The	student	avoids	engaging	in	certain	mathematical	tasks.”	
In	the	Some	column,	they	write	these	students’	names	in	the	boxes	next	to	these	
two performance traits. Finally, Ms. Thompson and Mr. Hart also note individual	students	(two	or	fewer)	who	demonstrated	still	other	performance	traits	(e.g.,	
“The	student	demonstrates	faulty	mathematical	thinking	or	ineffective	strategies

Tamika	W.

| Teacher:Ms.Thompson and Mr.Hart
Class/period:Ist period |  |  |  |
| --- | --- | --- | --- |
| Mathematics performance traits | Most(√) | Some(Write names.) | Individual(Write names.) |
| The student demonstrates knowledge and skill for some mathematical domains and not others,or for certain standards within a domain and not others. | √ |  |  |
| The student demonstrates faulty mathematical thinking or ineffective strategies when problem solving. |  |  | SteveA.TamikaW. |
| The student is able to compute or engages in problem solving accurately but at a very slow pace. |  | TommyS.JeromeB.FelishaT. |  |
| The student has difficulty with generalizing knowledge and skills to other mathematical concepts,skills,and contexts. |  |  | TommyS.JeromeB. |
| The student demonstrates mathematical abilities at one point in time but then is unable to demonstrate the same abilities later. |  |  | SteveA.JeromeB. |
| The student avoids engaging in certain mathematical tasks. |  | TommyS.JeromeB.SteveA.TamikaW. |  |

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Case Study 359

when	problem	solving,”	“The	student	has	difficulty	with	generalizing	knowledge and	skills	to	other	mathematical	concepts,	skills,	and	contexts,”	“The	student demonstrates	mathematical	abilities	at	one	point	in	time	but	then	is	unable	to demonstrate	the	same	abilities	later”).	In	the	Individual	column,	they	write	these students’	names	in	the	boxes	for	these	learning	traits. In	reviewing	their	notes,	the	two	co-teachers	develop	a	picture	of	the	kinds of	math	performance	traits	demonstrated	by	most	of	their	students,	by	some	stu- dents,	and	by	only	one	or	two	students.	Ms.	Thompson	and	Mr.	Hart	can	also	eas- ily	see	which	students	are	demonstrating	more	math	performance	trait	difficulties than	others.	This	information	now	provides	them	with	reference	points	to	begin thinking	about	what	potential	learning	characteristic	and	curriculum	factor	bar- riers they will want to consider when planning and implementing instruction. In	considering	potential	learning	characteristic	barriers,	Ms.	Thompson and	Mr.	Hart	think	about	their	students	as	they	review	their	notes	on	perfor- mance	traits	(see	Figure	E.4).	Four	of	Ms.	Thompson’s	students	have	identified disabilities	and	therefore	have	individualized	education	plans	(IEPs):	Steve	A., Tamika	W.,	Tommy	S.,	and	Jerome	B.	In	addition,	one	student	identified	with ADHD,	Felisha	T.,	has	a	Section	504	accommodation	plan.	Each	of	these	students is	listed	in	either	the	Some	or	Individual	column	(see	Figure	E.4)	as	demonstrat- ing	more	than	one	performance	trait.	Ms.	Thompson	and	Mr.	Hart	know	that,	for these	five	students,	they	will	need	to	consider	all	the	typical	learning	character- istics	of	struggling	learners	when	thinking	about	how	these	characteristics	might be	associated	with	their	performance	traits. Ms.	Thompson	finds	it	helpful	to	have	Mr.	Hart	as	a	collaborator	because he	helps	her	to	better	understand	the	disability-related	needs	of	her	students with	identified	disabilities:	Steve	A.,	Tamika	W.,	Tommy	S.,	and	Jerome	B. Tamika	W.	also	has	an	identified	speech-language	impairment,	related	to	diffi- culties	articulating	particular	sounds	when	she	speaks.	Tommy	S.	and	Jerome	B. also	are	identified	as	having	ADHD—Tommy	S.	with	the	primarily	inatten- tive	type	(	distractibility)	and	Jerome	B.	with	the	combined	type	(inattention and	impulsivity/	hyperactivity).	Felisha	T.,	who	does	not	have	an	IEP	but	has	a 504	accommodation	plan,	is,	like	Tommy	S.,	identified	as	having	the	primarily inattentive	type	of	ADHD.	Ms.	Thompson	and	Mr.	Hart	decide	to	create	a	table that	shows	the	students	with	identified	disabilities,	their	particular	disabili- ties,	and	specific	information	about	particular	cognitive,	social-emotional,	and behavioral	issues—	as	documented	in	the	students’	IEP	and	cumulative	folders, and	also	based	on	the	connections	Mr.	Hart	made	based	on	his	knowledge	of disability-	related	learning	needs.	Table	E.2	shows	the	teachers’	notes. With this information at hand, Ms. Thompson and Mr. Hart can now start thinking	about	what	learning	characteristics	could	be	contributing	to	their	stu- dents’	math	performance	traits.	They	go	back	to	their	“most,	some,	individual” notes	(see	Figure	E.4)	and	consider	each	student,	the	performance	trait,	and	the information	gathered	for	each	student	with	an	identified	disability	(see	Table	E.2). For	example,	they	note	that	Steve	A.	demonstrates	three	performance	traits (in	addition	to	the	one	most	of	Ms.	Thompson’s	students	demonstrate).	For	each of	Steve	A.’s	performance	traits,	the	two	teachers	consider	his	cognitive,	social- emotional,	and	behavioral	needs	related	to	his	disability	and	which	learning	char- acteristics	are	likely	contributing	to	his	performance	trait	difficulties.	Table	E.3 shows	an	example	of	their	thinking.

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Table E.2. Ms. Thompson's and Mr. Hart's notes about their students with identified disabilities

Table E.3. Example of Ms. Thompson’s thinking about Steve A., his performance traits, and potential

| Student | Performance trait | Potential learning characteristic barriers | Potential curriculum factor barriers |
| --- | --- | --- | --- |
| Steve A. | The student demonstrates faulty mathematical thinking or ineffective strategies when problem solving. | Metacognitive thinking disabilities Knowledge and skill gaps |  |
| The student demonstrates mathematical abilities at one point in time but then is unable to demonstrate the same abilities later. | Memory disabilities—memory retrieval (and working memory?) |  |  |
| The student avoids engaging in certain mathematical tasks. | Math anxiety Learned helplessness |  |  |

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Case Study 361

## Consider Possible Learning Characteristic Barriers

For	the	first	performance	trait,	Ms.	Thompson	and	Mr.	Hart	quickly	realize	that Steve	A.’s	difficulties	in	making	connections	between	certain	math	ideas	and applying	effective	strategies	align	closely	with	one	of	the	learning	characteristic barriers,	metacognitive	thinking	disabilities.	They	also	suspect	that	Steve	A.	has some	gaps	in	his	mathematical	knowledge	base,	confirmed	by	his	low	scores	on math	benchmark	testing.	Ms.	Thompson	thinks	this	could	also	be	a	contributing factor.	With	the	second	performance	trait,	Mr.	Hart	focuses	on	Steve	A.’s	memory retrieval	difficulties,	so	he	suspects	that	memory	disabilities	likely	contribute	to his	pattern	of	being	able	to	demonstrate	knowledge	of	a	concept	or	skill	at	one point	in	time	but	not	at	another	point.	Mr.	Hart	also	wonders	whether	working memory	could	be	a	factor	in	this;	during	instruction,	Steve	A.	appears	to	under- stand	parts	of	the	concept	being	taught	but	not	others.	The	teachers	note	this	with a	question	mark.	For	the	third	performance	trait,	both	teachers	realize	that,	given the	difficulties	Steve	A.	has,	he	probably	shuts	down	when	confronted	with	math- ematics	tasks	he	does	not	believe	he	can	complete	successfully.	Steve	A.	also	often raises	his	hand	for	help	with	math,	even	when	he	has	the	knowledge	and	skill	to complete	the	task,	so	they	think	learned	helplessness	is	potentially	playing	a	role as well. Ms. Thompson and Mr. Hart use the same process to identify the learning characteristics	that	are	most	likely	contributing	to	the	difficulties	of	Tamika	W., Tommy	S.,	Jerome	B.,	and	Felisha	T.

## Consider Possible Curriculum Factor Barriers

As	Ms.	Thompson	and	Mr.	Hart	continue	to	think	about	each	of	their	struggling learners,	they	consider	the	five	curriculum	factors	and	how	any	of	these	might be	barriers	to	their	students’	math	success	and	might	contribute	to	the	math	per- formance	traits	they	demonstrate.	Table	E.4	shows	their	thinking	for	Steve	A.	in connection	to	their	notes	about	potential	curriculum	barriers. As	Ms.	Thompson	thinks	about	the	math	curriculum	she	uses,	she	thinks about	how	certain	characteristics	thereof	might	contribute	to	her	students’	difficul- ties.	For	the	first	performance	trait,	Ms.	Thompson	reviews	a	few	lessons	from	the teacher’s	edition	of	the	math	textbook.	She	notices	that	although	each	lesson	has a	segment	related	to	conceptual	understanding,	little	direct	connection	is	made between	the	concept	and	the	procedures	emphasized	during	the	rest	of	the	lesson. In	some	ways,	these	two	aspects	of	the	lesson—conceptual	understanding	and reasoning,	and	procedural	understanding	and	proficiency—seem	to	be	treated	as separate	sections.	It	makes	sense	to	her	that	this	might	contribute	to	Steve	A.’s tendency	to	use	inefficient	strategies	when	solving	problems;	it	may	also	explain why	he	is	sometimes	off	base	in	connecting	what	he	is	doing	to	why	he	is	doing	it. Therefore,	Ms.	Thompson	suspects	that	the	textbook’s	limited	emphasis	on	inte- grating	conceptual	understanding	with	procedural	proficiency	is	a	curriculum factor	barrier	for	Steve	A. In	thinking	about	the	second	performance	trait,	Ms.	Thompson	considers	the memory	difficulties	Steve	A.	can	experience.	This	makes	her	wonder	whether	the curriculum	allows	Steve	A.	to	fully	store	what	he	learns	about	a	new	math	concept or	skill	and	have	enough	opportunities	to	apply	or	practice	it.	This	in	turn	makes

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Table E.4. Ms. Thompson’s and Mr. Hart’s thinking about Steve A., his performance traits, potential learning

| Student | Performance trait | Potential learning characteristic barrier | Potential curriculum factor barrier |
| --- | --- | --- | --- |
| Steve A. | The student demonstrates faulty mathematical thinking or ineffective strategies when problem solving. | Metacognitive thinking disabilities Knowledge and skill gaps | Level of emphasis placed on the integration of conceptual understanding with procedural proficiency |
| The student demonstrates mathematical abilities at one point in time but then is unable to demonstrate the same abilities later. | Memory disabilities—memory retrieval (and working memory?) | Instructional pacing |  |
| The student avoids engaging in certain mathematical tasks. | Math anxiety Learned helplessness | Lack of utilizing effective mathematics practices for struggling learners across instructional tiers in multi-tiered systems of supports(MTSS) |  |

her	consider	whether	the	instructional	pacing	is	appropriate	for	Steve	A.	Given	
his	memory	disabilities,	the	pacing	might	be	too	rapid	for	Steve	A.	to	fully	learn	
and	become	proficient	with	newly	introduced	concepts.	He	may	be	able	to	demonstrate	what	he	understands	in	the	moment,	but	when	he	is	asked	to	apply	it	later	
in	the	lesson	or	on	another	day,	he	cannot	effectively	retrieve	this	learning	from	
memory	because	he	did	not	have	enough	opportunities	to	apply	his	learning	in	
order	to	make	retrieval	automatic.	It	is	also	possible	that	the	lesson’s	instructional	
pace	was	faster	than	Steve	A.’s	ability	to	process	the	information	efficiently,	affect-

PLAN AND IMPLEMENT RESPONSIVE INSTRUCTION

PLAN AND IMPLEMENT RESPONSIVE INSTRUCTION
At	this	point,	Ms.	Thompson	and	Mr.	Hart	have	worked	fully	through	the	first	
four components of the Teaching Mathematics Meaningfully Process. They have

pace	was	faster	than	Steve	A.’s	ability	to	process	the	information	efficiently,	affecting	his	working	memory.
As	Ms.	Thompson	thinks	more	deeply	about	Steve	A.,	his	performance	traits,	
learning	characteristic	barriers,	and	potential	curriculum	factor	barriers,	she	
begins	to	realize	there	are	some	disconnects	between	the	instruction	emphasized	
in	the	math	textbook	and	his	learning	needs.	Ms.	Thompson	hypothesizes	that	
this	could	be	a	reason	for	Steve	A.’s	hesitation	to	engage	in	certain	mathematics	
activities:	He	has	not	adequately	learned	them.	So,	Ms.	Thompson	notes	utilization	of	effective	instructional	practices	for	struggling	learners	as	another	important	potential	curriculum	factor	barrier	for	Steve	A.

Excerpted from Teaching Mathematics Meaningfully: Solutions

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Case Study 363

teacher	and	that	of	a	special	education	teacher—as	they	worked	through	each aspect of the two related components, Determine Students’ Math-Specific Learning *Needs and Determine Struggling Learners’ Specific Learning Needs.* For the Plan and Implement Responsive Instruction component, you will read how	Ms.	Thompson	and	Mr.	Hart	take	what	they	learned	so	far	and	use	it	to	plan and	implement	their	instruction	in	ways	that	respond	to	their	struggling	learners’ needs.	This	final	component	of	the	Teaching	Mathematics	Meaningfully	Process includes the following steps:

•	 Developing	a	math	instructional	hypothesis	(see	Chapter	5)	to	guide	planning

•	 Planning	 for	 and	 implementing	 effective	 instructional	 practices	 (see Chapters	7–8)

•	 Reflecting	and	revising	instruction	based	on	student	performance	data	(see Chapter	5)

As	you	read	about	how	Ms.	Thompson	and	Mr.	Hart	engage	in	this	process, you will learn how they identify instructional hypotheses to address the needs of the	students	whose	formative	assessment	results	indicated	knowledge	and	skill gaps.	Also,	you	will	learn	how	the	two	teachers	plan	and	implement	instruction that	is	organized	at	three	levels	based	on	how	MTSS/RTI	is	implemented	in	their school:

•	 Less	intensive	(whole-class,	differentiated	core	instruction	at	Tier	1)

•	 More	intensive	(small-group,	supplementary	instruction	at	Tier	2)

•	 Even	more	intensive	(intensive	instruction	at	Tier	3	for	a	few	students)

As	noted	previously,	the	school	has	a	daily	50-minute	period	devoted	to	pro- viding students with additional instructional time in reading and mathematics, used	either	for	more	intensive	instruction	or	for	extension	and	enrichment.	Dur- ing this time, general education teachers, such as Ms. Thompson, provide supple- mentary	instruction	(Tier	2)	for	students	who	need	it;	special	education	teachers, such as Mr. Hart, and a math coach provide even more intensive instruction (Tier	3).	Teachers	either	alternate	days	for	reading	and	mathematics	instruction or	split	the	50-minute	period	in	half	to	address	each	content	area. With this information in mind, we focus on how Ms. Thompson and Mr. Hart plan and implement instruction for struggling learners at each level or tier. Please note	the	icons	in	the	right	margin	that	highlight	how	these	teachers’	instruction incorporates	certain	practices	discussed	throughout	the	book:	EIAs	(Chapter	7), anchors	of	instruction	that	can	be	intensified	within	MTSS/RTI	(Chapter	10),	and the	MTPs	(Chapter	8).

## Instructional Hypothesis

Reflecting	 on	 students’	 responses	 from	 the	 formative	 assessment	 tasks, Ms.	Thompson	and	Mr.	Hart	determine	that	most	have	the	prerequisite	knowl- edge	and	skills	to	achieve	the	overall	learning	intention,	multiplication	of	multi- **3** digit	numbers	using	the	standard	algorithm.	However,	five	students	struggle	with different	prerequisites.	Although	Ms.	Thompson	and	Mr.	Hart	do	not	believe	an instructional hypothesis is needed to guide instruction for most of their students,

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364 Appendix E

they	decide	instructional	hypotheses	would	be	helpful	for	these	five.	For	the three	students	(Tommy	S.,	Jerome	B.,	and	Felisha	T.)	who	cannot	accurately	use the partial products algorithm without relying on an area model, Ms. Thompson and Mr. Hart develop the following instructional hypothesis to support planning and instruction:

### Given	two	multi-digit	numbers	to	multiply:

*Students are able to recognize situations that involve multiplication and accurately* use the partial products algorithm when using an open area model.

*Students are unable to use the partial products algorithm without relying on an area* model

. . . because	they	have	difficulty	keeping	track	of	the	numerical	partial	products without the visual cues provided with the area model.

For	the	two	students	(Steve	A.	and	Tamika	W.)	who	are	struggling	with	the distributive	property	and	partial	products	algorithm,	Ms.	Thompson	and	Mr.	Hart develop the following instructional hypothesis:

### Given	two	multi-digit	numbers	to	multiply:

*Students are able to use the associative and commutative properties for multiplication.*

*Students are unable to	use	the	distributive	property	or	partial	products	algorithm* even with an area model

. . . because	they	do	not	understand	the	relationship	between	the	numbers	in	the partial	product	and	their	distribution	within	an	area	model.

Ms. Thompson and Mr. Hart use these two instructional hypotheses to guide their	instructional	planning	and	teaching	as	they	differentiate	and	intensify	their instruction	across	tiers	for	these	five	students.

## Planning and Implementation

As	Ms.	Thompson	and	Mr.	Hart	start	to	plan	their	instruction	based	on	the	two instructional	hypotheses,	they	consider	how	the	intensification	of	instruction	for those	who	need	it	aligns	with	how	their	school	employs	MTSS/RTI	(see	the	intro- ductory	paragraph	for	more	about	this	component	of	the	Teaching	Mathematics Meaningfully	Process).	Ms.	Thompson	and	Mr.	Hart	begin	to	plan	a	sequence	of teaching	and	learning	activities	that	will	be	used	several	days.	They	keep	in	mind that,	because	the	students	have	already	had	lots	of	experiences	using	base-ten materials	and	area	models	to	think	about	multiplication	and	have	connected	these ideas	to	partial	products,	the	primary	goal	is	for	students	to	develop	the	written **6**record for the standard algorithm for multi-digit multiplication. Because most of these	students	are	proficient	with	the	partial	products	algorithm,	Ms.	Thompson and	Mr.	Hart	agree	that	instruction	related	to	the	target	standard	should	begin by	connecting	the	two	algorithms,	partial	products	and	standard,	using	con- crete	or	representational	(i.e.,	semi-concrete,	such	as	an	area	model)	models	first. **8** They	decide	to	focus	the	first	few	lessons	on	using	area	models	in	conjunction **1**with	the	written	record.	Once	students	are	able	to	demonstrate	and	articulate

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Case Study 365

**4**an understanding of what is happening with the models, they will move to the written	algorithm	without	relying	on	the	area	model.	They	decide	to	start	with	a word	problem	to	reinforce	how	multiplying	multi-digit	numbers	applies	to	the real world. After	 working	 with	 both	 the	 standards	 and	 the	 learning	 trajectory, Ms. Thompson and Mr. Hart articulate the following overall and long-term learn- **2** ing intentions for	their	students	as	follows:	students	will	be	able	to	(1)	conceptu- ally	understand	the	mathematical	ideas	related	to	multiplying	multi-digit	numbers **1**using	the	standard	algorithm,	(2)	multiply	multi-digit	whole	numbers	with	pro- ficiency,	and	(3)	make	sense	of	and	solve	word	problems	that	involve	multi-digit multiplication	of	whole	numbers.

## Differentiated Whole-Class Core Instruction (Less Intensive, Tier 1)

Both Ms. Thompson and Mr. Hart agree that using a systematic instruction **1** approach is	important	for	all	their	students.	In	particular,	it	will	allow	them	to evaluate student learning after each lesson and determine what to emphasize in the next. Based on the assessment data gathered, Ms. Thompson and Mr. Hart decide	to	use	parallel	tasks,	one	with	smaller	numbers	and	one	with	larger	num- **1**bers,	during	the	initial	whole-class	lesson.	Parallel teaching, in which two teachers teach	two	different	groups	the	same	content,	at	the	same	time,	in	differentiated ways,	is	a	co-teaching	model	that	supports	differentiating	instruction	within whole-class	or	large-group	contexts	(Friend	&	Cook,	1996).	Doing	this	will	lower **7**the teacher–student ratio for those students who are struggling with the math- ematics	content.	For	those	struggling	with	the	distributive	property	and	the	area model,	the	task	with	a	single-digit	number	multiplied	by	a	double-digit	number will	reduce	the	number	of	partial	products	on	which	they	must	focus.	For	students with	working	memory	difficulties,	such	as	Steve	A.,	this	strategy	will	lessen	the cognitive	load	necessary	to	complete	the	task—making	it	more	likely	that	they will	be	able	to	process	the	numbers	accurately	and	complete	the	necessary	cogni- tive	actions.	This	strategy	could	also	help	to	alleviate	students’	potential	anxiety about	attempting	something	new.	The	teachers	decide	on	these	word	problems	as **2**their	parallel	tasks:

•	 In	the	front	section	of	the	school	auditorium	are	6	rows	where	45	students	can sit in each row. How many students can sit in the front of the auditorium?

•	 In	the	front	section	of	the	school	auditorium	are	23	rows	where	45	students can sit in each row. How many students can sit in the front of the auditorium?

Students	are	asked	to	draw	the	corresponding	rectangular	area,	mark	off	the area	that	aligns	with	each	of	the	partial	products,	and	then	complete	a	written record of the multiplication, using the partial products on a recording sheet that **3**has	base-ten	columns	identified	(see	Figure	E.5).	Ms. Thompson and Mr. Hart pro- vide	base-ten	grid	paper	(see	Figure	E.6)	to	Steve	A.	and	Tamika	W.	This	paper	not **8** only	explicitly	shows	the	individual	squares	(as	opposed	to	an	open-area	model where	these	squares	are	implied),	but	also	organizes	the	squares	into	groups	of 10	rows	and	10	columns.	This	structure	is	intended	to	eliminate	the	need	to	count all	the	individual	squares	and	also	supports	students’	partitioning	the	numbers being	multiplied	into	their	respective	place	values.

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366 Appendix E

Th H T O 2 7 40 5 × 4 5

1 3 5 20 800 100 1 0 0 2 8 0 7 280 35 + 8 0 0 1 2 1 5

**Figure E.5.** Place value recording sheet and an open area model showing the partial products for 27 × 45.

At	this	point	in	the	lesson,	it	is	time	to	introduce	the	written	record	for	the standard	algorithm.	Ms.	Thompson	and	Mr.	Hart	recognize	that	based	on	stu- dents’	learning	needs,	some	students	will	need	less	guidance	and	others	will need	more.	For	those	students	needing	less	guidance,	their	task	is	to	consider	the written	record	they	have	created	using	partial	products	and	another	one	given	to them that uses the standard algorithm along with the corresponding area model. **2**Together,	they	will	work	to	figure	out	the	written	record	of	the	standard	algorithm (i.e.,	what	the	numbers	mean	and	where	they	came	from,	and	why	numbers	are **6**recording	in	particular	places).	Ms.	Thompson	and	Mr.	Hart	provide	these	stu- dents	with	a	sequence	of	written	records,	as	seen	in	Figure	E.7,	so	the	students	can **8** see	how	and	when	numbers	are	introduced	into	the	written	record. Ms.	Thompson	and	Mr.	Hart	know	they	need	to	offer	more	support	to	some **1 3**students	by	starting	with	a	simpler	problem	and	being	more	explicit.	 For these students,	they	use	the	first	word	problem	that	results	in	6	×	45.	After	students have completed the partial products algorithm and corresponding area model for the	computation	(see	Figure	E.8),	Mr.	Hart	works	with	the	small	group,	asking	a **5 5**series of focused questions	to	help	them	relate	the	two	written	records,	such as the following: **3** *Where is the 30 in the partial products and in the area model? What numbers were used* *to get 30? Where and how is the 30 recorded in the standard algorithm? Why is the* *3 recorded above the 40 in the 45?*

He	knows	he	needs	to	use	strategies	such	as	visual	cuing	to	help	students make	these	connections	(see	Figure	E.9).	Mr.	Hart	highlights	the	three	tens	in the partial products algorithm and uses an arrow to show the connection to the **8** regrouped three tens in the standard algorithm. The use of visuals to help students make	connections	between	mathematical	ideas	is	an	effective	instructional	practice for	struggling	learners	because	it	helps	students	focus	on	important	features	of mathematical	ideas	and	tasks	despite	attention	difficulties	or	cognitive	processing impairments.	Mr.	Hart	works	with	this	small	group	of	students	on	additional	mul- tiplication	of	single-digit	numbers	by	double-digit	numbers,	eventually	leading	to multiplication	problems	involving	two	double-digit	numbers. **7 1**Gradually	scaffolding	content	in	order	to	help	students	succeed,	with	less	diffi- cult	content	expectations	initially	and	then	with	more	difficult	expectations	later	on, supports	struggling	learners	to	be	willing	to	take	risks.	This	reduces	the	likelihood

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Case Study 367

**Figure E.6.** Base-ten grid paper. (Various open source sheets can be found via an Internet browser search.)

that they will engage in learned helplessness. This practice also supports the needs of	students	who	process	information	more	slowly	so	they	can	become	proficient with	less	demanding	mathematics	tasks	before	moving	to	more	demanding	tasks. Ms.	Thompson	and	Mr.	Hart	are	also	sensitive	to	the	idea	that	with	both	the partial products and the standard algorithm, it is imperative that students still

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1 2 1 5

23\times45.

5
be	precise	in	the	language	used.	For	example,	when	students	who	are	finding	the	
product	of	23	×	45	multiply	the	2	and	5,	they	should	say	“20	times	5”	so	that	it	is

more	apparent	to	the	student	why	he	or	she	writes	the	1	in	the	hundreds	place.

Supplemental Small-Group Instruction (More Intensive, Tier 2)
The three students who currently receive supplemental mathematics  instruction—
Tommy	S.,	Jerome	B,	and	Felisha	T.—demonstrated	they	were	ready	to	move	toward	
understanding	and	becoming	proficient	with	the	standard	algorithm	for	multiplication. For this reason, Ms. Thompson and Mr. Hart agree that, although they 
will	likely	need	some	additional	instruction	on	concepts	and	skills	covered	during	
whole-class	core	instruction,	they	mostly	will	benefit	from	additional	response	and	
practice	opportunities	in	order	to	become	proficient	with	these	concepts	and	skills.	
Ms.	Thompson	decides	to	begin	each	supplemental	instruction	session	at	a	smallgroup	table	by	engaging	students	in	a	pre-instructional	“check”	activity,	in	which	
she	presents	several	prompts	related	to	these	core	concepts	and	skills	and	asks	
2students	to	quickly	respond	on	individual	dry-erase	boards.	As	students	respond,	
Ms.	Thompson	notes	any	error	patterns	or	apparent	misconceptions	and	writes	
them	in	a	small	journal	she	uses	to	informally	track	students’	progress	during	supplemental	instruction.	(She	finds	using	a	supplemental	instruction	journal	this	way	
helps	her	to	efficiently	plan	from	day	to	day	and	pinpoint	where	to	target	instruction.)	Based	on	her	observations	during	this	pre-instructional	check,	Ms.	Thompson	
then determines which content or mathematical practices her students need more 
support	in	understanding.	She	communicates	to	students	her	learning	intentions	for	
the	session	and	how	these	relate	to	what	she	observed	during	the	pre-	instructional	
2
check.

2 7 0

Excerpted from Teaching Mathematics Meaningfully: Solutions

---

| Partial Products |  |  |  | Standard |  |  |
| --- | --- | --- | --- | --- | --- | --- |
| H | T | O |  | H | T | O |
| × | 4 | 5 |  | × | 34 | 5 |
|  | 6 |  |  |  |  |  |
| +2 | (3) | 0 |  | 2 | 7 | 0 |
| 4 | 0 |  |  |  |  |  |
| 2 | 7 | 0 |  |  |  |  |

Figure E.9. Place value recording sheet comparing the algorithms for partial products and the standard algorithm for $ 6 \times45. $

Knowing	her	students	and	considering	the	nature	of	the	mathematics	content	
standard, Ms. Thompson decides to emphasize the three additional instructional 
intensification	anchors,	Explicitness and Teacher Direction, Teach Math Metacognition,
and Opportunities to Respond.	She	believes	that	her	students	will	benefit	from	moderate	levels	of	intensification	for	the	first	two	of	these	anchors	and	a	high	level	of	
intensification	for	Opportunities to Respond.	(This	is	an	example	of	differentiating	
intensity	among	the	seven	instructional	anchors;	see	Chapter	10	for	discussion	
about	differentiating	the	intensity	levels	of	these	within	MTSS/RTI.)	She	decides	
this	because	she	knows	that	to	build	appropriate	levels	of	proficiency,	her	students	will	likely	need	some	modeling	or	reteaching	and	greater	opportunities	to	
respond	and	practice.	She	understands	that	Tommy	S.,	Jerome	B.,	and	Felisha	T.	
need	more	instructional	time	devoted	to	responding	and	practice	than	possible	
during whole-class core instruction.

these materials to help students visualize its important features, repeating the 
visual cuing practices she and Mr. Hart used during whole-group instruction.
When students need support in recalling steps for completing the standard 
multiplication	algorithm	or	solving	multiplication	word	problems,	Ms.	Thompson	
10
teaches	the	use	of	explicit	learning	strategies	(see	Chapter	8	for	examples)	 that

10
teaches	the	use	of	explicit	learning	strategies	(see	Chapter	8	for	examples)	 that 
support	students’	memory	recall	and	help	them	build	metacognitive	awareness.	
For example, she noted that when students were not provided the place value 
recording	sheet	(see	Figures	E.5–E.9),	some	forgot	or	did	not	connect	the	place	
value	of	digits	they	regrouped	using	the	standard	algorithm.	So,	she	taught	these	
students	the	FIND	strategy,	which	helps	them	identify	and	remember	the	place	
value	of	digits	in	multi-digit	numbers	(see	Figure	E.10).	The	FIND	strategy	helps	
students	independently	recreate	the	place	value	template	that	was	used	in	differentiated whole-class core instruction. This in turn allows them to respond independently	while	reinforcing	thinking	about	the	place	value	of	digits	when	using	
the	standard	algorithm.	Over	time,	Ms.	Thompson	will	fade	students’	use	of	the

teaches	the	use	of	explicit	learning	strategies	(see	Chapter	8	for	examples)	 that 
support	students’	memory	recall	and	help	them	build	metacognitive	awareness.	
For example, she noted that when students were not provided the place value 
recording	sheet	(see	Figures	E.5–E.9),	some	forgot	or	did	not	connect	the	place	
value	of	digits	they	regrouped	using	the	standard	algorithm.	So,	she	taught	these	
students	the	FIND	strategy,	which	helps	them	identify	and	remember	the	place	
value	of	digits	in	multi-digit	numbers	(see	Figure	E.10).	The	FIND	strategy	helps	
students	independently	recreate	the	place	value	template	that	was	used	in	differentiated whole-class core instruction. This in turn allows them to respond independently	while	reinforcing	thinking	about	the	place	value	of	digits	when	using	
the	standard	algorithm.	Over	time,	Ms.	Thompson	will	fade	students’	use	of	the

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370 Appendix E

Th H T O 1 **Find the columns (space between digits)** 4 2 **Insert the ts.** × 2 9

**Name the place values.**1 3 7 8 **Determine the value of each digit.** 8 4 0 1 2 1 8

Students use the FIND Strategy to monitor the value of digits as they complete the standard multiplication algorithm.

**Figure E.10.** Example of the FIND Strategy (Mercer & Mercer, 2005) being utilized to monitor the place value of digits when completing the standard multiplication algorithm.

To	help	her	students	build	their	levels	of	proficiency,	Ms.	Thompson	incorpo- rates	multiple	response	opportunities	during	both	instruction	and	practice.	For **6** example,	she	utilizes	the	individual	white	boards	to	ensure	all	students	in	the group	respond	to	her	questions	and	prompts.	She	incorporates	the	use	of	instruc- **5**tional	board	games	(see	Chapter	7)	for	practice.

## Individualized Instruction (Even More Intensive, Tier 3)

Two	students,	Steve	A.	and	Tamika	W.,	exhibited	an	underdeveloped	understand- ing	of	the	concept	of	area	and	its	relationship	to	multiplication.	Both	have	been identified	as	students	who	need	more	intensive	math	instruction	in	addition	to core	instruction.	Although	Ms.	Thompson	and	Mr.	Hart	have	attempted	to	differ- entiate	their	practice	within	whole-class	planning	and	instruction	to	better	sup- port	struggling	learners’	needs,	they	know	Steve	A.	and	Tamika	W.	need	even more	intensive	support	compared	to	the	students	receiving	Tier	1	instruction	or supplemental	Tier	2	support. Based on the instructional hypothesis the two teachers developed from their informal assessment, Mr. Hart plans to organize his instruction according to three goals,	which	he	will	apply	in	each	daily	50-minute	intensive	session	with	Steve	A. **1 2**and	Tamika	W. First,	he	knows	they	have	gaps	in	their	knowledge	base	related	to	the	standard targeted in whole-class core instruction. They will need explicit systematic instruc- tion	in	related	foundational	concepts	and	skills:	the	area	model,	the	distributive	prop- erty,	and	the	partial	products	algorithm.	Second,	he	knows	his	students	will	need multiple	response	opportunities	and	practice	with	these	concepts	and	skills	to	build their	proficiency	and	fluency.	Third,	Mr.	Hart	knows	that	Steve	A.	and	Tamika	W.	will need	pre-instructional	support	in	order	to	benefit	from	whole-class	core	instruction. Therefore, Mr. Hart organizes each intensive instructional session according to these three areas of focus as follows:

1.	 During	the	first	20–25	minutes,	he	focuses	on	the	foundational	ideas:	area, distributive	property,	and	the	partial	products	algorithm.	He	decides	to begin	with	the	foundational	concept	of	area	and	how	it	relates	to	making sense of multiplication, ideas with which these students are still struggling.
Excerpted from Teaching Mathematics Meaningfully: Solutions for Reaching Struggling Learners, Second Edition by David H. Allsopp, Ph.D.,LouAnn H. Lovin, Ph.D., & Sarah van Ingen, Ph.D.

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Case Study 371

2.	 During	the	next	15–20	minutes,	he	engages	his	students	in	practice	opportu- nities related to one of these foundational concepts.
3.	 During	the	last	10	minutes	or	so,	he	preteaches	content	he	and	Ms.	Thompson will cover during the next whole-class core instruction class period or peri- ods.	He	does	this	so	Steve	A.	and	Tamika	W.	have	a	preview	of	what	they will	be	learning	the	next	day	and	how	it	relates	to	what	they	are	learning during	Tier	3	instruction,	and	they	can	begin	learning	the	content.	Mr.	Hart believes	doing	this	will	better	prepare	Steve	A.	and	Tamika	W.	for	the	next day’s	core	instruction	so	that	they	can	engage	in	the	whole-class	lesson	more successfully. *Area Model Instruction* Mr. Hart decides to emphasize the same three instruc- tional	intensification	anchors	used	by	Ms.	Thompson	with	her	supplemental	Tier	2 group: Explicitness and Teacher Direction, Teach Math Metacognition, and Opportuni- *ties to Respond. However, in contrast to Ms. Thompson, Mr. Hart greatly intensi-* fies	the	anchors	Explicitness and Teacher Direction and Teach Math Metacognition in addition to Opportunities to Respond	(another	example	of	differentiating	intensity among	the	anchors).	He	begins	with	single-digit	multiplication	scenarios,	such as the following, and has the students create corresponding rectangular areas on
**1**grid paper to represent the scenarios.

*Ms. Thompson wants to buy a rug for the classroom that is 5 feet by 6 feet. How much floor* *space (area) will the rug cover?*

Mr.	Hart	begins	with	scenarios	that	are	easy	to	model	concretely	in	the	class- room.	For	this	scenario,	students	can	utilize	a	tape	measure,	the	classroom	floor **8 3** tiles	that	each	measure	1	square	foot,	and	1	foot	by	1	foot	paper	squares	to	repre- sent,	think	about,	and	solve	area	problems.	Mr.	Hart	first	models	this	using	think- **10 4** alouds that	show	his	thinking	about	how	much	floor	space	the	rug	in	the	scenario will	cover.	Then,	he	invites	students	to	do	the	same	and	to	justify	why	the	area model they created is appropriate and how it accurately represents how much space the rug will cover. Next,	he	poses	different	area	scenarios	using	feet	and	inches	and	challenges Steve	A.	and	Tamika	W.	to	determine	the	different	areas	using	the	tape	mea- sure	and	square	paper	“tiles.”	He	also	asks	them	to	mark	the	individual	feet	or inches	on	the	paper	squares	and	to	justify	their	response.	After	each	response, the	students	then	represent	the	same	area	using	their	grid	paper,	labeling	the **6** feet or inches and identifying the total area represented on the grid paper inside. Mr.	Hart	checks	both	students’	responses	on	the	grid	paper	and	provides	spe- **5 8**cific	positive	reinforcement	and	corrective	feedback.	He	asks	each	student	to	iden- tify	the	relationships	between	the	area	on	the	grid	and	the	scenario.	Once	they are	able	to	identify	these	relationships,	he	asks	them	to	write	the	corresponding multiplication equation. As	the	students	demonstrate	proficiency	with	scenarios	that	involve	continu- ous	quantities,	Mr.	Hart	begins	to	use	scenarios	that	involve	discrete	quantities (i.e.,	ones	students	count).	This	is	done	to	help	his	students	generalize	multiplica- tion to discrete quantities using an array structure. For example:

*In a classroom, there are 4 rows of 5 desks. How many desks are in the classroom?*

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372 Appendix E

Again,	Mr.	Hart	models	an	example	first,	using	think-alouds,	with	index cards	representing	the	desks.	As	he	did	with	continuous	quantities,	he	begins with discrete-quantity scenarios that are easy to model concretely using an array. For	example,	Steve	A.	and	Tamika	W.	can	use	index	cards	to	create	the	4	×	5	array. **3**Mr.	Hart	first	models	this	using	think-alouds	about	how	to	align	the	index	cards in rows and columns. To	help	Steve	A.	and	Tamika	W.	track	the	number	of	each,	he	marks	cards	with red	and	blue	highlighters	to	identify	the	four	rows	and	five	columns.	Then,	he	asks them	to	do	the	same	and	to	justify	why	their	array	model	is	appropriate	and	how it	accurately	represents	the	total	number	of	desks	in	the	scenario.	Next,	he	poses different	combinations	of	rows	and	columns,	challenges	Steve	A.	and	Tamika	W.	to work	in	the	same	way	to	create	the	appropriate	array	for	each,	and	prompts	them **2**to	justify	their	response.	After	each	response,	the	students	represent	the	same	area, using	their	grid	paper	in	much	the	same	way	they	did	earlier	when	working	with continuous quantities, including writing the multiplication equation underneath. **3 6**Mr.	Hart	checks	both	students’	responses	on	the	grid	paper	and	provides	spe- **5**cific	positive	reinforcement	and	corrective	feedback. He	asks	each	student	to	iden- tify	the	relationships	between	the	array	model	with	the	index	cards,	the	area	on	the grid,	and	the	equation	(e.g.,	the	4	in	the	equation	is	represented	by	the	four	rows, the	5	in	the	equation	represents	the	five	columns,	the	20	in	the	equation	represents the	total	number	of	squares	in	the	area).	He	does	this	to	make	sure	that	Steve	A. and	Tamika	W.	are	making	the	connection	between	area	and	multiplication. Next,	Mr.	Hart	moves	to	problems	that	involve	the	multiplication	of	a	single- digit	number	by	a	double-digit	number.	He	addresses	these	students’	misunder- standings	about	the	distributive	property	by	helping	them	partition	into	tens	and ones	the	part	of	the	area	model	corresponding	to	the	double-digit	number.	He	fol- lows	a	process	similar	to	that	used	for	problems	involving	single-digit	numbers	only. As	Mr.	Hart	works	with	Steve	A.	and	Tamika	W.	over	time,	he	takes	opportu- nities to explicitly connect what they are doing to the core content already covered during	whole-class	instruction	because	he	wants	to	continuously	help	his	students make	these	connections.	For	example,	he	shows	a	problem	from	a	prior	whole- class	session	as	an	example	(see	Figure	E.8)	and	demonstrates	how	the	single-digit by	single-digit	area	models	they	have	been	working	with	(e.g.,	4	×	5)	relate	to	the partial	products	area	model	(e.g.,	6	×	45)	by	pointing	out	how	both	have	rows	and columns.	In	other	words,	he	relates	4	×	5	(four	rows	of	five)	to	6	×	45	(six	rows	of	45).

*Practice* Because	he	has	only	two	students	and	he	wants	to	keep	them	moti- vated	as	they	practice,	Mr.	Hart	decides	to	utilize	both	instructional	games	and self-correcting	materials	(see	Chapter	7).	For	example,	he	thinks	the	instructional game	Pig	would	be	good	for	practicing	single-digit	multiplication	of	whole	num- bers	(see	Figure	E.11).

For	the	Pig	game,	Mr.	Hart	decides	to	have	Steve	A.	and	Tamika	W.	roll	two dice	to	generate	two	single-digit	numbers,	represent	the	area	of	the	resulting	rect- angle	using	grid	paper,	label	its	rows	and	columns,	identify	the	area	(and	product) by	writing	the	number	inside	the	rectangle,	and	write	the	corresponding	mul- tiplication	equation	underneath.	Mr.	Hart	monitors	and	provides	feedback	and coaching	as	needed.	After	the	session,	Mr.	Hart	reviews	Steve	A.’s	and	Tamika	W.’s **6** responses to evaluate their progress and inform planning for the next session.

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Case Study 373

*Purpose: Provides students with computation practice* *Materials: Grid paper and pencil; two dice, with a pig sticker on one face of one of the die. (If you do not have* a pig sticker, purchase a pink dot sticker from an office supply store and draw a pig face on it.) *Directions: Students work in pairs and take turns. On each turn, a student rolls two dice at the same time. He or* she uses the numbers rolled as dimensions of a rectangle. The student draws the rectangle on his or her grid paper. The student multiplies the two numbers and writes the product inside the area of the rectangle. The student keeps a running total of the areas he or she finds. When the pig is rolled, the student has to deduct 20 from his or her total area. Play continues until one student reaches a designated total area (e.g., 100). *Extension 1: Each student rolls three dice at a time to create a one-digit and a two-digit number. Use different* colored dice to designate the one-digit number versus the two-digit number. For example, use one white die to generate the one-digit number and use two green dice for the two-digit number. Let the student determine how to use the digits from the dice to create a two-digit number (e.g., 32 or 23). The choice made will provide some insight into the student’s number sense and strategy awareness. *Extension 2: Each student rolls four dice at a time to create 2 two-digit numbers. Use two white dice for one* two-digit number and two green dice for the other two-digit number. Again, let the student determine how to use the digits from the dice to create a two-digit number.

**Figure E.11.** Pig Math instructional game. (Source: Mercer & Mercer, 2005.)

**2** *Pre-instruction for the Next Whole-Class Instruction Session* During	this	por- **3 3**tion of more intensive instructional time, Mr. Hart emphasizes the instructional intensification	anchor	Explicitness and Teacher Direction, using an explicit instruc- tion	process,	LIPP,	for	connecting	what	students	will	learn:

• **Linking	the	whole-class	learning	intention	to	what	Steve	A.	and	Tamika	W.** are	learning	about	an	area	model	in	their	even	more	intensive	(Tier	3)	session

• **Identifying	the	learning	intention	they	will	focus	on	during	subsequent** whole-class instruction

• **Providing a rationale for why the upcoming learning intention is important** and relevant to their lives

• **Previewing one or more foundational ideas related to it**

Mr.	Hart	likes	the	mnemonic	LIPP	because	it	helps	him	remember	the	four areas to focus on for each pre-instruction session.

## Reflect/Revise

Ms.	Thompson	and	Mr.	Hart	meet	regularly	to	both	reflect	on	and	revise	their instruction.	They	do	this	by	evaluating	student	performance	data	and	through their	ongoing	observations.	This	includes	students’	levels	of	engagement	during instruction;	at-the-moment	diagnostic	interviews	and	error	pattern	analyses	the teachers	complete	with	students	based	on	their	responses	during	instruction;	and other	informal	formative	assessments,	such	as	weekly	class	mini-quizzes	and

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374 Appendix E

school-wide	continuous	progress	monitoring	data	from	benchmark	and	CBM assessments	as	appropriate.	(This	is	all	part	of	the	Continually Assess Students com- ponent	of	the	Teaching	Mathematics	Meaningfully	Process.) Ms.	Thompson	and	Mr.	Hart	concentrate	on	three	questions	as	they	reflect on	their	instruction	across	tiers:	What	is	working?	What	is	not	working	and	why? How	can	we	improve	what	we	are	doing?	Because	they	continually	keep	these three	questions	in	mind	as	they	teach,	they	find	that	they	do	not	need	lots	of	time when	they	meet	to	reflect	and	revise;	reflection	becomes	a	habit	of	mind,	so	they already	have	concrete	ideas	before	they	meet.	Ms.	Thompson	and	Mr.	Hart	agree	it is	wonderful	to	be	able	to	collaborate	for	several	reasons:	They	share	common	per- spectives,	but	each	teacher	also	has	another	perspective	to	pull	from.	Because	nei- ther	can	be	present	for	instruction	across	all	three	instructional	tiers,	collectively they	feel	that	collaboration	helps	them	have	a	much	better	handle	on	all	students’ performance and related mathematics learning needs, particularly those who are struggling	with	mathematics.	They	also	find	that	they	are	much	better	prepared when	their	grade-level	team	meets	to	review	student	performance	data	to	make instructional	decisions	related	to	MTSS/RTI	at	the	grade	level	and	for	individual students.

# TAKE ACTION

We designed this case study to illustrate how teachers can integrate the compo- nents of the Teaching Mathematics Meaningfully Process. Our illustration is simply one	way	the	process	can	be	carried	out;	the	potential	variations	and	adaptations are	limitless	and	depend	on	the	needs	and	characteristics	of	specific	students	and teachers.	Throughout	this	book,	we	challenged	you	to	put	each	component	of	the decision-making	process	into	action.	Our	final	challenge	for	you	is	to	integrate	the components	by	putting	the	entire	process	into	action	in	your	own	classroom. Because	of	the	complexity	of	this	task,	you	may	find	it	useful	to	work	with	a partner	and	talk	through,	or	write	down,	how	you	envision	each	step	playing	out in	your	classroom.	Then,	go	for	it!	It	may	feel	time	consuming	and	labor	inten- sive,	but	we	encourage	you	to	see	the	entire	process	through	from	beginning	to end.	Pay	close	attention	to	how	you	and	your	students	respond.	Were	the	results useful?	What	were	the	effects	on	student	learning	and	engagement?	Which	parts of	the	process	worked	well	and	which	need	to	be	tweaked?	If	you	were	fortu- nate	enough	to	have	another	teacher	collaborate	with	you	throughout	the	process, what	were	your	interactions	like?	How	could	they	be	strengthened	in	the	future? Were	there	any	points	of	tension	or	misunderstandings	that	could	be	addressed? Finally,	we	want	to	conclude	this	book	by	honoring	you	for	the	time	you	have taken	to	improve	your	mathematics	instruction.	Struggling	students	and	students with	special	education	needs	historically	have	not	received	equitable	mathematics instruction.	The	efforts	you	have	made	to	read	and	apply	the	research-supported strategies	in	this	book	are	clear	indicators	of	your	commitment	to	meeting	the mathematics	learning	needs	of	all	students.	Thank	you	for	this	commitment.	The outcome—improvements in mathematics teaching and learning for struggling students—is	surely	worth	the	effort!

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Abstract-level understanding, assessment centers and, 
125
Abstract-Representational-Concrete (ARC) assessment
assessment and, 103–104
examples of, 105f, 106f
MDA and, 103, 127
Struggling learners and, 104–108
Academic self-concept, 105
Access
assessment and, 122–124
core instructions as, 275
equity and, 10
providing for, 162
UDL and, 249
Accommodations
IDEA 2004 and, 251
learning barriers and, 95
for testing, 289
Accuracy in understanding
advanced acquisition stage of learning and, 117
initial acquisition stage of learning and, 117
scaffolding instruction for, 201
Acquisition stages, see Advanced acquisition stage of 
learning; Initial acquisition stage of learning
Acronyms, see Mnemonics
Actions That Will Help You Implement Each Step of 
MDA activity, 133
Activities
Bifocal Vision for Math Teaching as, 38–39
explicitness instruction and, 145
finding the area as, 119f
Incorporating Effective Teaching Practice into a 
Lesson Plan as, 237
learning trajectory as, 64–65
MTSS/RTI Instructional Tiers as, 246
as peer-mediated, 143t, 206, 341–342
Take Action Activities as, 96, 133, 153, 216, 245, 
266–267, 278, 374
see also Instructional strategies and practices
Adaptations
illustration of, 103t
for nonresponders, 276–277
Adaption stage of learning
overview of, 116
teaching strategies for, 120
understanding and, 118–119
Adaptive reasoning, 31
procedural fluency and, 163
see also Reasoning and proof skills
Addends, 230f
Adding It Up, National Research Council (2001) report, 
31, 162

Abstract-level understanding, assessment centers and, Advanced acquisition stage of learning, 60, 63t
accuracy in understanding in, 117
Abstract-Representational-Concrete (ARC) assessment overview of, 116
Affective learning network, 250
Algebra
building foundation for, 24–26, 25t
instructional games for, 183f
operations and, 17–19
solution drawings of, 198f
struggling learners and, 26, 60–61
Algebraic thinking, 78
development of, 184
instructional games for, 183f
operations and, 17–19
Algorithmic fluency
examples of, 165–171, 167f, 169f
procedural fluency and, 228, 229–230
Alternative procedures
fractions and, 21–22
for multiplication, 20–21, 112
Amount of Time anchor, 263–264
Answers-only versus reasoning and answers, 29f
Application fluency, procedural fluency and, 171–172, 
228, 230
ARC, see Abstract-Representational-Concrete 
assessment
ARC Assessment Planning Form, 107
ARC assessment response sheet, 126f, 127f
Area model instruction, 371
Area problems, 119f
Arithmetic properties, 18
Assessment, student, 2f
access and, 122–124
CRA instruction and, 125
definition of, 97
diagnostic interview and, 112–113, 128
error pattern analysis as, 108, 255
fractions and, 60, 62t
information from, 107
instructional accommodations and, 251
instructional decisions and, 288
literature support and, 6
methods for, 276
MTSS/RTI and intensifying of, 247–267
of prior knowledge, 227
purpose and process of, 107
the SOLO taxonomy and, 173
struggling learners and, 97–133
students response to, 356f
summary of, 290
Adding It Up, National Research Council (2001) report, types of, 98t
word problems for, 125
see also Mathematics Dynamic Assessment (MDA); 
Monitoring and charting performance
Assessment-related constructs, struggling learners and, 
115–124
Associative property, multiplicative strategy, 55f, 350f

---

Authentic contexts
CRA instruction, 195
explicit instruction and, 215
identifying, 125
instructional practices and, 78, 161, 214

students interests and, 213f, 215
Barriers
curriculum factors and, 9, 71f, 95, 296–298
information on, 292
learning characteristics as, 293, 361
special education and, 8
struggling learners and, 36, 69–96
understanding and, 60–61, 77–78
Base-10 system, 17
CCSS domain, 253–254
conceptual understanding with, 227f
concrete materials for, 197f
grid paper for, 367f
operations and, 19–21
regrouping with, 228f
Behaviors of struggling learners, 70t, 72t, 74, 76–77, 289, 
359
Benchmark Assessments, 101
Bifocal Vision for Math Teaching activity, 38–39
Big ideas
CCSS and, 17
content strands and, 17, 38–39
importance of, 15–39

teacher self-examination and, 38–39
Case study, 345–374
CBM, see Curriculum-based measurement
CCSS, see Common Core State Standards
CGI, see Cognitively Guided Instruction
Charting performance, see Monitoring and charting 
performance
Child versus adult views, 7, 41
Children’s mathematics, learning trajectories for, 41–65
Choices, 121–122
Class Mathematics Student Interest Inventory Form, 213f
Classroom instruction, see Whole-class instruction
Classroom-Based Formative Assessments, 102
CLD students, see Culturally and linguistically diverse 
students
Cognition, see Metacognition
Cognitive interview, 226t
Cognitively Guided Instruction (CGI), 46–49
Collaborative approach, 271
color-coding, 222, 256
Common Core State Standards (CCSS), 4, 5–6
adaption illustration of, 103t
associated skills cluster as, 284t
big ideas and, 17, 24
Eight Standards for Mathematical Practice in, 102, 
159, 171, 191t
NCTM process standards and, 31–32, 32t, 37t
Number Operations in Base Ten as, 253–254
Common error patterns, 110–111, 356f
Communication
in classroom, 1
disconnect in, 89
impact of learning characteristics on, 84
process standards and, 29–30, 115
Commutative property, as multiplicative strategy, 55f, 
350f
Compensation strategy, 229t
Computational fluency
error pattern analysis, 109
as fundamental skill, 18–19, 165

Index

Concepts, 16, 42
fractions and, 58–61, 63
learning objectives and, 212
skills and, 143t, 207, 287
Conceptual knowledge, 76
lack of, 105
symbols and, 198
Conceptual understanding, 31
instructional choices and, 226
instructional decisions and, 226
procedural fluency and, 93, 163, 172–174, 218t, 223–230
vocabulary knowledge and, 176
Concrete-level understanding
assessment and, 105
modeling and, 195–196
Concrete-Representational-Abstract (CRA) instruction
assessment and, 104
Explicitness, instructional levels of and, 195, 202, 
203–204t
instructional programs, 128
Scaffolding and, 243t
sequence of, 192–195, 201f
Behaviors of struggling learners, 70t, 72t, 74, 76–77, 289, studies on, 241
understanding and, 199
visual cues and, 194f
Concrete-semiconcrete-abstract (CSA), 104
Connections between ideas
graphic organizers and, 211f
impact of learning characteristics on, 231
process standard as, 30–31, 285
representations and, 218–223, 236
scaffolding and, 210
Construct viable arguments and critique the reasoning 
of others, 286, 354
Content
big ideas and, 17, 38–39
complexity levels, 144t
expectations for, 159
geometry as, 24
learning intentions and, 191
Children’s mathematics, learning trajectories for, 41–65 learning needs and, 239
learning trajectory and, 65
Class Mathematics Student Interest Inventory Form, 213f measurement and data as, 22–23
overview of, 5
proficiency stage of learning and, 31, 94
CLD students, see Culturally and linguistically diverse Continuous assessment, 2–3, 6–7
case study and, 352–355
instructional decisions and, 287
Continuum of instructional choices, 
138–142
application of, 145–153
making choices across, 142–145
scaffolding across, 149–150
Continuum of learning, 61, 121, 117f
see also Learning, stages of
Cooperative learning groups
CLD students in, 91
as group instruction, 83
teacher directed instruction and, 152, 205
use of, 140f
Core beliefs, 76
Core instruction, 240f, 249f
for all students, 272–273, 275
differentiated instruction and, 273–274
flexible grouping with, 204–208
Counting, 44–45
Commutative property, as multiplicative strategy, 55f, manipulatives and, 45, 51
opportunities for, 233
strategies for, 48–50
types of, 47t
CRA, see Concrete-Representational-Abstract 
instruction

---

Index

Cuing
attention and memory disabilities and, 82
choices as, 121–122
explicitness and, 152
multisensory, processing disabilities and, 87–88
tools for, 207
see also Mnemonics
Culturally and linguistically diverse (CLD) students, 
89–91
cultural differences among, 90–91
funds of knowledge and experiences from, 250–251
Culturally responsive materials, 214
Curriculum considerations and instructional reforms, 
92
Curriculum factors
as barriers, 9, 71f, 95 297–298
success and, 91–93

Curriculum-based measurement (CBM), 6, 101
Data
from benchmark assessments, 287, 352–353
methods for use of, 276
from summative assessments, 271
Data analysis
content strands as, 22–23
database from, 212
decision making and, 239, 253
Decision making, 34
data for, 239, 253
information and, 97
instructional process of, 281
Describing wheel, graphic organizer, 177f
Diagnostic Assessments of Achievement, 101
Diagnostic interview, 112–113
Diagnostic interviews, information from, 128–129
Diagrams for problem solving, 219
Differentiated instruction
core instruction and, 273–274
determining need for, 263
instructional intensity and, 265–266
planning and, 247–251
whole class instruction as, 365–368
Disability-related characteristics, 80–88
Disconnections, communication, 89
Discrete independent variable, 241
Discrete learning, see Concrete-level understanding
Diverse learners, see Struggling learners
Division
explicit trade algorithm for, 170f
as operation, 54
for struggling learners, 58
Documents, on instructional strategies and practices, 
37t
Doing mathematics, see Process standards
Domains, as standards, 5, 285
see also Content
Double-digit addition, strategies for, 225f, 227 229f
Drawings
Algebra solutions in, 198f
as assessment tool, 30f
concrete materials and, 201
kinesthetic cues and, 197
representational-level learning with, 129, 219
strategies for, 199f, 200f
Dynamic assessment, see Mathematics Dynamic

Assessment (MDA)
Educational contexts, 241
Educational materials, see Materials
Effective Teaching Practices for General and Struggling

Index 377
Efficiency, developing of, 118
EIAs, see Essential instructional approaches
Emergent stage of learning, 59, 62t
Engaged dialogue assessment strategy, 113
Engagement, 70t
application and, 171
expectations for, 89
in mathematical discourse, 179–180
response opportunities and, 182–185, 259
struggling learners and, 151–153
funds of knowledge and experiences from, 250–251 student practice and, 148, 285–286
word walls for, 176
Curriculum considerations and instructional reforms, English language learners, 1
linguistic differences for, 90
mathematical discourse, 179–180, 224f
native language use for, 176
RD/MD, as related for, 88
Equity, access and, 10
Error pattern analysis
assessment and, 108, 255
computational fluency, 109–111
mistakes for, 233f
observations and, 129, 164
Essential instructional approaches (EIAs)
case study and, 345–346
Language and, 174–180
MTPs integration with, 217–237, 220f, 224f, 232f
research support for, 241–245
Essential Instructional Approaches (EIAs)
struggling learners and, 155–216, 156t, 270t
tiered instruction and, 248
Evaluating an Assessment Against NCTM Standards 
activity, 133
Evaluation
activity for, 278
model for, 277
MTSS and, 269–278
of performance, 157
of prior knowledge, 291
see also Monitoring and charting performance
Expectations
of content, 159
for engagement, 89
for productive struggle, 231
for representations work, 219
for struggling learners, 217–237
Experiences of students
CLD students and, 90
generalization of, 18–19
see also Prior knowledge
Explicitness, instructional levels of
activities and, 145
Documents, on instructional strategies and practices, authentic context and, 215
characteristics of, 140f
CRA instruction and, 195, 202, 203–204t
cuing and, 152
examples of, 139f
to implicitness as continuum, 141–142
instructional practices and, 143t, 151, 152f
teacher direction and, 255–257
in think-aloud strategies, 221
vocabulary practices and, 175–178
Expressive response
assessment and, 120–122
examples of, 123f, 124f
in practice activities, 190f

Excerpted from Teaching Mathematics Meaningfully: Solutions

Extension, see Adaption; Generalization
Facts
fluency and, 43, 50t, 63
Effective Teaching Practices for General and Struggling as known or derived, 55f

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378 Index
FASTDRAW strategy
peer-tutoring activity with, 342
problem solving and, 208
word problems and, 260t, 262
Feedback
as corrective, 202
as effective, 235
instruction and, 158
during modeling, 35
response opportunities with, 180–189, 232f, 259
during scaffolding, 152
see also Monitoring and charting performance
Figurative composite units, 54, 56t, 59f
FIND strategy, 258, 370f
Fluency
with algorithms, 165–171, 167f, 169f
in application, 171–172
of computation, 165, 166f
EIAs and, 162–164
facts and, 43, 50t, 63
in proficiency and maintenance stages of 
learning, 118
with whole numbers, 25t
Formative assessments
in case study, 354t
decision making and, 253
hypothesis and, 131–132
identifying for, 254–255
rubrics as, 114
Summative versus, 101–102
use of, 226
Foundational knowledge
cognitive interview and, 226t
identifying and understanding as, 1–2, 3, 4, 64, 282
standards relation to, 253
Fractions
alternative procedures and, 21–22
assessment and, 60, 62t
concepts and, 58–61, 63
fluency with, 25t
instructional program recommendations and, 61
representation of, 59–60
SOLO taxonomy, 173
Frayer Model graphic organizer, 177, 178
Generalization, experience of, 18–19
Generalization stage of learning
overview of, 116
teaching strategies and, 120
understanding and, 118–119
Geometry
content strands and, 24
measurement and, 25t
Goals
of instruction, 179
instructional decisions and, 288
learning objectives and, 218t
of modeling, 156
see also Learning, stages of
Graphic organizer visuals, 193f
Graphic organizers, 176–178
connections between ideas and, 211f
Group instruction
anchors for, 266
cooperative learning as, 83
differentiated instruction and, 204
instructional decisions for, 148–149
prior knowledge and, 150
scaffolding and, 148f
as supplemental, 368
whole class instruction as, 127

Index

High-Stakes Tests, standardized and, 100
Hypotheses, instructional, 67f
formative assessment information for, 131–132
information for, 283
reasoning and, 42–43

IDEA, see Individuals with Disabilities Education 
Improvement Act of 2004 (PL 108-446)
Identifying and understanding
appropriate procedures, 224
authentic contexts, 125
concepts or skills for practice, 207
content preparation for, 347
with disabilities, 234, 360t
formative assessments and, 254–255
as foundational, 1–2, 3, 4, 64, 282
information structure, 85
instructional decisions and, 283
learning intentions, 156
mathematical areas for, 284
performance traits, 292–293t, 358–359
place on learning trajectory, 291, 355–356
tasks, 233
IEP,  see Individualized education program
IES, see Institute of Education Sciences
Illustration
adaptations in, 103t
FIND strategy in, 258f, 370f
instruction with visuals, 256
procedural fluency in, 164f
proficiency in, 163f
tiered instruction in, 240f, 249f, 272f
Implementing the 11 Essential Instructional approaches 
activity, 216
Implementing the Essential Instructional Approaches 
activities, 216
Implicitness, levels of instruction
characteristics of, 140f, 142f
continuum as explicitness to, 141–142
examples of, 139f
instructional practices and, 143t, 151, 152f
student directed instruction and, 151–153
Incorporating Effective Teaching Practice into a Lesson 
Plan activity, 237
Independent practice, 157, 182
see also Practice opportunities
Individual Mathematics Student Interest Inventory 
Form, 211–213
examples of, 212f
Individualized education program (IEP), 123
Individualized instruction, 370–371
Individuals with Disabilities Education Improvement 
Act (IDEA) of 2004 (PL 108-446), 242
accommodations and, 251
Informal data collection form, 186f
Information, 3
from assessment, 107
about barriers, 292
decision-making and, 97
diagnostic interviews as, 128–129
for hypothesis, 283
identifying structure of, 85
for instruction, 108, 112, 132
passive learning and, 77
about student’s stages, 46
about student’s understanding, 122
Initial acquisition stage of learning
accuracy in understanding in, 117
authentic contexts and, 214
overview of, 116

Excerpted from Teaching Mathematics Meaningfully: Solutions

77

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Institute of Education Sciences (IES), 61
Instruction
feedback loop for, 158
focus for, 274–275
goals of, 179
ideas for, 244t, 292, 357
information for, 108, 112, 132
intervention and, 276
language and, 250–251
scaffolding and, 146f, 148f, 150f
seven anchors for, 252f, 265f
special education and, 92
student’s ideas inform, 64
with visuals illustration as, 256
see also Instructional strategies and practices
Instructional approach
to mathematics, 208–211
positive outcomes with, 243t
see also Essential instructional approaches (EIAs)
Instructional Approaches activity, 153–154
Instructional decisions
conceptual understanding and, 226
along continuum, 153–154
flexibility in, 137–154
group instruction and, 148–149
MDA and, 130–131, 291
performance data and, 271, 287
process for, 281
real time making of, 182
as student-centered, 162
Instructional games
practice opportunities with, 183f
tips for making, 184f
Instructional hypotheses, see Hypotheses, instructional
Instructional intensity, 240f, 249f
differentiating, 265–266
increasing levels of, 252f, 272f
MTSS and, 269–278, 275t
Instructional materials, see Materials
Instructional Pacing, 92–93
Instructional program recommendations
CRA instruction and, 128
fractions and, 61
number and operation sense, 159
practices for, 182
problem solving and, 28
research and, 242
SOLO taxonomy and, 173
substandards and, 158
Instructional reforms and curriculum considerations 
and, 92
Instructional strategies and practices
authentic contexts and, 78, 161, 214
cooperative learning groups/peer tutoring and, 205
documents on, 37t
EIAs and, 155
explicitness or implicitness and, 143t, 151, 152f
games/self-correcting materials and, 183f, 184f, 185f
general strategies as, 42
learning stages and, 44–45
literature support for, 9
meaningful contexts for, 212
modeling and, 34, 48, 217
as multidimensional, 241
National Mathematics Advisory Panel on, 137
problem-solving, 27–28, 32–33
receptive and expressive response formats, 131
research base to improve, 244–245
scaffolding and, 145–147, 201
school-wide, 269–270
for struggling learners, 1–11, 32–33, 91–94, 239–246
see also Assessment; Monitoring and charting

Index

Instructional time, 243t, 244t
Instrumental understanding, 26
Interactive learning, 202
Interest inventories, 216
Intermediate stage of learning, 60, 62t
Intervention
instruction and, 276
research on, 264
Inverse operations, 168f
Kinesthetic cues
drawings and, 197
for processing disabilities, 87
Knowledge and skill gaps
instructional intensity and, 254
for struggling learners, 78–80
Language
EIAs and, 174–180, 224f
instruction and, 250–251
symbols and, 86, 89–90
understanding and, 199
Language development, mathematics achievement and, 
79, 81
Language-based processing difficulties, 87
Learned helplessness, learning characteristic as, 8, 74–77, 
231
Learning
deep, teaching for 4
determing of, 158–159
memory and, 81
Instructional hypotheses, see Hypotheses, instructional mistakes for, 233
through practices, 27
stages of, 44–46, 59–60, 115–119, 116t
Learning characteristics
as barriers, 293, 361
performance traits and, 95f, 297f
struggling learners, 8–9, 71–88, 145
Learning disabilities, 214
see also specific disabilities
Learning intentions, 156
content and, 191
EIAs and, 158–161
examples of, 160f
sharing, 156, 160–161
Learning needs
content and, 239
Instructional reforms and curriculum considerations EIAs and, 155
grouping based on, 205
of students’ with disabilities, 92, 251
Learning objectives, concepts and, 212
cooperative learning groups/peer tutoring and, 205 Learning standards, see Instructional program 
recommendations
Learning trajectory, 7–8, 281
capabilities during, 50, 233
games/self-correcting materials and, 183f, 184f, 185f identifying place on, 291, 355–356
mathematics and, 41–65
relation of, 34
standards and, 286
Lesson plans, see Planning
Line segments, 178f
Line symmetry, 24
Linear equations, algorithm for, 168f
Linguistic differences, 89–90
Literature support
for assessment, 6
for differentiated instruction, 204
for instructional practices, 9–10
for peer-mediated learning, 206
for representations, 220

---

380 Index
Maintenance stage of learning
fluency in, 118
overview of, 116
Manipulatives
concrete-level understanding, 195–196
counting and, 45, 51
materials as, 23
Mastery
of basic facts, 49–51, 50t, 165
demonstration of, 108
Materials
as concrete, 196f, 197f
instructional games/self-correcting materials, 183f, 
184f, 185f
manipulatives as, 23
ten frames as, 20f
Math anxiety, 80, 289
Math practices, 285–286, 372–373
Math standards, 284–285
see also Common Core State Standards (CCSS)
Mathematical discourse, 89
engagement in, 179–180, 218t, 243t
for English language learners, 179–180, 224f
Mathematical practices
development of, 27
emphasis on use of, 189–192
Mathematics achievement
Diagnostic Assessments of Achievement and, 101
language development and, 79, 81
Mathematics difficulties, see Reading difficulties and 
Mathematics difficulties (RD/MD), as related
Mathematics Dynamic Assessment (MDA)
ARC assessment and, 103
assessment through, 125–128
conducting, 128–130
instructional decisions, 130–131, 291
overview of, 125
results of, 130f
Mathematics learning
productive struggle in, 231–235, 236
writing and, 180
Mathematics processes
adult versus child views in, 7, 41
see also Process standards
Mathematics vocabulary
categories of, 175
EIAs and, 174–180
visuals cues and, 194f
Math-specific learning needs, determining of, 3, 7
assessment tasks and, 288, 290–291
instructional decisions and, 283
MDA, see Mathematics Dynamic Assessment
Meaningful connections, metacognitive disabilities and, 
84–85
Meaningful contexts, abstract reasoning development 
in, 211–215
Measurement
geometry and, 25t
units of, 58–59
Measurement and Data, content as, 22–23
Memory, working and learning with, 81–82
Memory disabilities
retrieval and, 81
summary of, 72t, 80
Metacognition
strategy examples and, 28–29, 35–36, 85

Index

Mistakes, see Error pattern analysis
Mnemonics
strategy instruction and, 82–83
struggling learners use of, 262
visual strategies for, 209f
Model with mathematics (NGA Center for Best Practices & 
CCSSO, 2010), 171
Modeling
at abstract level, 198–204
CCSS and, 191t
concrete-level understanding and, 195–196
feedback during, 35
instructional games/self-correcting materials, 183f, goal of, 156
instructional strategies and practices, 34, 48, 217
overview of, 34
process standards and, 34
at representational level, 196–198
of thinking, 208
Models
for evaluation, 277
problem solving with, 222
self-monitoring and, 206
Modes of input, 85–86
Modifications, see Adaptations
Monitoring and charting performance
case study example of, 358t
strategies for, 128
systemic teaching and, 157
techniques for, 188f, 189f
Mathematics difficulties, see Reading difficulties and Motor integration disabilities, 87, 110
MTSS, see Multi-tiered systems of supports
Multiplication
add-on strategy in, 77
alternative procedures for, 20–21, 112
as operation, 54
repeated addition process for, 256f
for struggling learners, 58
Multiplicative reasoning, 43, 51–58, 63
strategy examples of, 52f, 53f, 54f, 56t, 350f
see also Reasoning and proof skills
Multi-tiered systems of supports (MTSS), 9
assessment and, 98t, 100–101
characteristics of, 269–274, 270t
flexible grouping and, 205
instructional intensity and, 269–278, 275t
number sense and, 93–94
RTI and, 239–246
Multi-tiered systems of supports (MTSS)/Response to 
intervention (RTI)
case study and, 345–346
intensifying assessment and, 247–267
Multi-tiered systems of supports (MTSS)/Response to 
Meaningful connections, metacognitive disabilities and, intervention (RTI) instructional Tiers activity, 246

Meaningful contexts, abstract reasoning development 
National Council of Teachers of Mathematics (NCTM)
on access and equity, 10–11
on assessment, 97
curriculum content strands and, 37t
definition of standards and prompts by, 99t
Effective Mathematics Teaching Practices by, 218t
process standards and, 5–6, 31–32, 114
tiered instruction and, 248
see also Instructional program recommendations
National Mathematics Advisory Panel
final report (2008) by, 24–26, 242
on instructional practices, 137
National Research Council (2001), 242
NCTM, see National Council of Teachers of 
Mathematics
NCTM Mathematics Teaching Practice (MTPs), 345–346
EIAs integration with, 217–237, 220f, 224f, 232f

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FOR MORE, go to http://www.brookespublishing.com/Teaching-Mathematics-Meaningfully

Nonresponders, adaptations for, 276–277
Number sense
common errors and, 111
definition of, 15
development of, 184, 225
MTSS and, 93–94
Number sequences, 45–46
student capabilities and, 47–48t
Numbers and Operations
algebraic thinking and, 17–19
base-10 system and, 19–21
connections between, 18
as content strand, 15
division as, 54
error patterns and, 110
fractions and, 21–22
instructional program recommendations for, 159
multiplication as, 54
MTSS and, 93–94
order of, 159
place value and, 20
see also Number sense
Numeracy, 63

research on, 184
Objects, see Concrete-level understanding; Manipulatives
Observations
from diagnostic interviews, 130
error pattern analysis and, 129, 164
OGAP,  see Ongoing Assessment Project Multiplicative 
Framework
Ongoing Assessment Project (OGAP) Multiplicative 
Framework, 51–55
Operations
Algebra and, 17–19
in Base Ten as CCSS, 253–254
Base-10 system and, 19–21
division as, 54
instructional program recommendations for, 159
multiplication as, 54
place values and, 20
see also Numbers and Operations
Opportunities for improvement, 11

Index

Parallel, 178
Part-part-whole strategies, 50
Passive learning
productive struggle and, 231
struggling learners and, 77–78
Patterns
fluency and, 164
of performance, 107
problem solving and, 109
search for and use of, 18–19, 36
see also Common error patterns
Peer-mediated learning
activities for, 143t, 341–342
grouping structures for, 206–208
Peer-tutoring, 206, 341–342
Perceptual multiples, 52, 56t
Performance
evaluation of, 157
level of understanding and, 108
pattern of, 107
Performance charting, see Monitoring and charting 
performance
Performance data
instructional decisions and, 271, 287
struggling learners and, 244t

Performance Rubric, 186f
Performance traits, 8
identifying observance of, 292–293t, 358–359
impact of learning characteristics and barriers, 95f, 297f
record of, 294f
struggling students and, 69, 70t
Perseverance, 235
Phonological processing, effect on, mathematics 
learning, 79
Pictorial representations, 220, 221f
Place values
algorithms and, 167, 169
multi-digit numbers, 258f
operations and, 20
problem solving and, 110–111
recording sheet for, 368f, 369f
Planning
differentiated instruction and, 247–251
instructional intensity, 266
for success, 248
whole-class instruction and, 128
Planning Intensive Instruction Using Instructional 
Anchors activity, 267
Polygon, 178f
Positive reinforcement, 157, 290
Practice opportunities
Objects, see Concrete-level understanding; Manipulatives for counting, 233
engagement and, 148
instructional games for, 183f
providing for, 35, 120, 175
OGAP,  see Ongoing Assessment Project Multiplicative structured language experiences and, 1
teacher support levels and, 120, 229
visual diagrams for, 222
Pre instruction/anticipatory set, 158
Precision, 35, 222, 354
Preservice teachers, see Teachers
Principles and Standards for School Mathematics (NCTM), 4
problem solving and, 27–28
process standards and, 5–6, 27–28
representation and, 220f
Principles to Actions (NCTM)
effective formative assessment definition by, 102
MTPs, 217, 270
Prior knowledge
activation of, 33, 89, 121, 201, 214
assessment of, 227
gaps and strengths in, 288, 291, 357
group instruction and, 150
lack of, 274
response cards and, 182f, 183f
Problem solving, 5
drawings and, 197
FASTDRAW strategy and, 208
impact of learning characteristics on, 84, 121
instructional practices and, 28, 32–33
mixing problem types and, 235
models of, 222
NCTM and, 27–28
patterns and, 109
place values and, 110–111
reasoning for, 234
strategy examples of, 32, 70t, 209f, 210t
structured dialogue sheet for, 181f
Procedural fluency, 31
accuracy requirements and error patterns for, 110
building of, 228–230
conceptual understanding and, 93, 163, 172–174, 218t, 
223–230
for understanding, 225
Procedure-first instruction, 225
Process standards
communication as, 29–30, 115

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Process standards—continued
modeling and, 34
NCTM and, 5–6, 31–32, 114
proof skills as, 28–29f, 36
representation and, 30, 114
Processing disabilities
summary of, 73t, 296t
types of, 85–88
Productive disposition, 31, 32
procedural fluency and, 163
Productive struggle in learning mathematics, 231–235, 
236
Proficiency stage of learning
content strands and, 31, 94
fluency in, 118
illustration of, 163f
overview of, 116
teaching strategies and, 15–16
understanding and, 147–149, 281
see also Monitoring and charting performance
Progress Monitoring Assessments, 100–101
Prompts
for math writing, 180f
purpose of, 226t
questions or, 187
recognition, 190f
for students, 114, 115, 172

Index

RD/MD, see Reading difficulties and mathematics 
difficulties, as related
Reading, research on, 264
Reading difficulties and mathematics difficulties (RD/
MD), as related, 88
Reading disabilities, 88
summary of, 73t, 296t
Reason abstractly and quantitatively, 33
practice of, 286
Reasoning and proof skills
development of, 49
hypotheses and, 42–43
for problem solving, 234
process standards as, 28–29f, 36
strategy examples for, 50t, 161
Receptive response
assessment and, 120–122
examples of, 124f
practice activities and, 190f
Recognition
recognition prompt, 190f
response opportunities versus, 187–189
Record, 294f
for place values, 368f, 369f
teachers’ notes as, 294f, 360t
Reflections: How to Support the NCTM Teaching 
Practices with EIAs activity, 237
Reforms, see Instructional reforms
Regrouping errors, 110–111
Reinforcement, see Feedback
Relational understanding, 19, 26
Repeated abstract composite grouping, 54, 56t
Repeated addition process, 256f
Representation
of fractions, 59–60
learning characteristics and, 74–75f, 86
of mathematics, 172
multiplicative reasoning and, 55f
process standards and, 30, 114
of solutions, 86f
types of, 220, 221f

Representational-level understanding
assessment centers and, 125
drawings and pictures for, 129
modeling for, 196–198
Representations, categories for, 219
Research, 10
on basic fact automaticity, 165
on error patterns, 109
to improve instruction practices, 244–245
on math intervention, 264
Productive struggle in learning mathematics, 231–235, on mathematics education, 93
on numeracy development, 184
about special needs, 242
on struggling learners, 30
support for EIAs and, 241–245
on working memory, 81–82
Response cards, 182, 183f
Response formats
assessment from, 288–290
receptive and expressive as, 131
recognition-type of, 187
Response opportunities
anchor, 252f, 259–263
feedback and, 180–189, 232f, 235, 259
providing for, 181, 182–185, 227
see also Practice opportunities
Response to intervention (RTI)
assessment and evaluation with, 100–103
MTSS and, 239–246
see also Multi-tiered systems of supports (MTSS)/
Response to intervention (RTI)
Responsive instruction, planning and implementing of, 
3–4, 9–10
Reading difficulties and mathematics difficulties (RD/ case study and, 362–374
guidance for, 298
hypotheses as guide for, 283
Retrieval skills, 81
Role playing demonstration, 113
Rounding, 167
RTI, see Response to intervention
Rubric
examples of, 114f, 115f
for fluency development, 174t
as formative assessments, 114
Scaffolding
connections and, 210
across continuum of instructional choices, 149–150
with emphasis, 146f, 147–149
examples of, 146f, 148f, 150f
feedback during, 152
group instruction and, 148f
instructional strategies and practices, 145–147, 201
tiers as, 271–272
visual cues as, 262t
Schema-based instruction, 192
Schematic representations, 220, 221f
School performance, see Mathematics achievement
School-wide practices, 269–270
SEAL, see Stages of Early Arithmetic Learning 
instruction
Selective attention, see Attention disabilities
Self-correcting materials, practice opportunities with, 
185f
Self-evaluation/monitoring, metacognition and, 85
Self-monitoring, 206
example of strategy for, 209f
Self-observation, 11
Self-reflection inventory, 153–154, 216, 237, 246, 278
Self-regulation, 243t

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Seven anchors model, 252f
Sharing, learning intentions, 156, 160–161
Skills, 16
application of, 171
assessment of, 106
cluster of, 284t
concepts and, 143t, 207, 287
discrimination as, 83
SOLO, see the Structure of the Observed Learning 
Outcome taxonomy
Solving linear equations, 168f
Special education
instruction and, 92
learning barrier accommodation in, 8
MTSS and, 273
practices in, 244
Special education teachers, see Teachers
Stages of Early Arithmetic Learning (SEAL) instruction, 
43–48
Standard algorithm
double digit addition with, 225f, 227, 229f
as multiplicative strategy, 55f, 350f
Standard procedures, 21, 28
Statistics, processes and, 23
Story problems, see Problem solving; Word problems
Strategic competence, 31, 163
Strategy instruction
addition strategies and, 48, 50
mnemonics and, 82–83
problem-solving and, 32
see also Cuing
Strengths, 11
Structure
of assessment, 289
of evaluations, 277
grouping and, 204–208, 265
of information, 85
intensive instructional sessions, 259
language experiences and practice opportunities 
with, 1
for recording, 294f
SOLO taxonomy as, 173t
standards, 284
use of, 35, 140f
Structure of the Observed Learning Outcome (SOLO) 
taxonomy, 173t
Structured dialogue cue sheet, 181f
Struggling learners
algebra and, 26, 60–61
ARC assessment, 104–108
assessment for, 97–133
assessment-related constructs for, 115–124
attention disabilities of, 33, 83–84
barriers for, 36, 69–96
changing expectations for, 217–237
choices continuum for, 137–154
curriculum considerations for, 202t
diagnostic interviews for, 112–113
EIAs and, 155–216, 156t, 270t
engagement and, 151–153
error pattern analysis, 109–111
fractions and, 22
graphic organizers for, 177
instruction for, 1–11, 32–33, 91–94, 239–246
intention importance for, 160
learning characteristics of, 8–9, 71–88, 145
metacognitive disabilities and, 33, 69
mnemonics use by, 262
multiplication and division for, 58
research on, 30
response opportunities for, 184, 187

Index

Index 383
time for, 263
visuals use for, 192, 219, 221
word problems for, 260
Struggling learners, specific learning needs of, 2–3, 
7–9
assessment tasks and, 288
case study and, 357–362
instructional decisions and, 283
performance traits and, 292
Student directed instruction
characteristics of, 140f
continuum as teacher directed to, 139–141
examples of, 139f, 146f, 147
implicitness and, 151–153
Student responses, performance data from, 185–187
Student-centered instruction
instructional decisions and, 162
Stages of Early Arithmetic Learning (SEAL) instruction, student-directed and, 137–138
student-directed versus, 137–138
Students interests, authentic contexts of, 213f, 215
Students with disabilities
barriers to success for, 69–96
identified as, 293, 360t
learning needs of, 92, 251
testing accommodations for, 289
Substandards
program recommendations and, 158
skills cluster and, 284t
Subtechnical words, 175
Subtraction
algorithms and, 167, 168
with understanding, 173
Success, 1
barriers to, 69–96
with core instruction, 274
curriculum factors and, 91–93
determining criteria for, 159–160
growth mindset for, 234
math anxiety and, 80
MTSS and, 277
planning for, 248
teaching systemically for, 155
Summative assessments, data from, 271
Formative versus, 101–102
Structure of the Observed Learning Outcome (SOLO) Supplementary instruction
at elementary level, 252
MTSS and, 205, 240f, 249f, 272f, 275
response opportunities and, 259
time for, 264
Support
cuing as, 121
determining appropriate levels of, 156
teacher features of, 91, 179, 263, 290
Symbolic words, 175–176
Symbols
conceptual knowledge and, 198
language and, 86, 89–90
representations as, 18–19, 81, 250
Systemic instruction framework
phases of, 156, 157f

see also Teaching systemically
Teach Math Metacognition anchor, 257–258
Teacher directed instruction
characteristics of, 140f
cooperative learning groups and, 152, 205
examples of, 139f, 146f, 147
explicitness, instructional levels of and, 
255–257
to student directed as continuum, 139–141

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Teachers
knowledge for, 240
notes record by, 297f, 360t
in special education, 294
to student ratio, 252f, 264–265
Teaching
for deep learning, 4
forest and trees analogy and, 15, 36–38
incrementally, 77
math metacognition, 257–258
measurement, 23
vocabulary, 174–176
Teaching Mathematics Meaningfully Process
as case study, 345–374
examples of, 2f, 10, 67f, 248f, 279f
overview of, 281–298
Teaching strategies
generalization stage of learning and, 120
proficiency stage of learning and, 15–16
see also Instructional strategies and practices
Teaching systemically, 155–158
Teaching to mastery, see Mastery
Technical words, 175
Ten Frame, 20f
Testing, 289
Think-aloud strategies, 82, 113, 208
explicitness in, 221
use for story problems, 343–344
Thinking strategies, see Metacognition; Strategy 
instruction
Tools
appropriate use of, 35–36, 235
for cuing, 207
drawings as, 30f
representations as, 219
Traditional regrouping algorithm, 258
Transitional multiplicative strategies, 52–55, 56t, 350f
Triangle as term, 177, 178f

Index

Triangle as term, 177, 178f
UDL, see Universal Design for Learning
Understanding
accuracy in, 117–119
algorithms and, 169
barriers and, 60–61, 77–78
CRA instruction and, 199
demonstration of, 105
early numeracy and, 63
information about student’s, 122
learning intentions, 161
MDA and levels of, 130f
performance and, 108
procedural fluency for, 225

subtraction with, 173
see also Assessment; Learning
Units of measure, see Measurement
Universal Design for Learning (UDL), 204
core instruction with, 273
planning and instructional framework of, 249–250

Universal Screeners, 100
Value in learning, 212
Variables, 168f, 241
structured dialogue cue sheet for, 181f
Visual cues
CRA instruction and, 194f
for mnemonics, 209f
as scaffold, 262t
in strategy instruction, 219
Visual diagrams
as explicit, 223f
as nonexplicit, 222f
Visual models, 22
Visual processing disabilities, 86–87
see also Processing disabilities
Visual representation, 220
Visual spatial processing difficulties, 87, 296t
Visual vocabulary word strategy, 178f
Visuals
cognitive framework as, 210
utilization of, 192–204, 256f, 257f
Vocabular y
EIAs and, 174–180
word problems and, 78–79

Wait time, providing, 82, 88
What Works Clearinghouse (WWC) practice guide, 61
Whole-class instruction
data collection for, 186f
differentiated instruction for, 365–368
groups for, 127
planning for, 128
Word problems
assessment with, 125
CGI and, 48–49
FAST DRAW strategy and, 260t
one variable equations, 260t, 261t, 262t
reasoning for, 234
story problems as, 172t, 221f, 222f
think-aloud strategies, 343–344
vocabulary and, 78–79
Word walls, 176–178
Writings, mathematics learning with, 180
