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Expanding RtI

Procedures to Math



Math RtI Pilot

Lincoln Public Schools

Math: The Next Frontier



 RtI procedures can be expanded to math

without great difficulty

 Similar goal: prevent and/or intervene early

with students who struggle in math

 Less comprehensive research is available

about the specific, component skills and the

hierarchy of skills in math

3 Tiers of Intervention



TIER 1

School-wide Interventions

ALL



TIER 2

Targeted group interventions







TIER 3

Tier Non-Classroom

High intensity interventions

Systems

RTI Three Tier Model

Needed to Solve Problem







Tier III

Amount of Resources









Tier II





Tier I





INTENSITY OF PROBLEM

RTI Three Tier Model

Needed to Solve Problem

Amount of Resources









Tier I

High-quality, scientifically

based instruction, differentiated

to meet their needs, and students are

screened on a periodic basis

to identify struggling learners

who need additional support.









INTENSITY OF PROBLEM

RTI Three Tier Model



Tier II

Needed to Solve Problem

Amount of Resources









Increasingly intensive instruction

matched to student’s needs

on the basis of levels of

performance and

rates of progress.





Tier I

Students not making

adequate progress in the

core curriculum



INTENSITY OF PROBLEM

RTI Three Tier Model

Tier III

Students receive

individualized, intensive interventions

that target the students' skill deficits

Needed to Solve Problem





for the remediation of existing

problems and the prevention

Amount of Resources









of more



Tier II severe problems.









Tier I





INTENSITY OF PROBLEM

Focus of This Pilot Project



 Three Tier instructional RTI model

 Determine use of screening procedures

 Measurement using frequent progress

monitoring measures

 Math Calculation Skills

 Not just math fact skills although fact fluency

contributes to multi-skill calculation success

 What interventions work, how does the

progress translate to the classroom

Pyramids of Interventions

& High Performing Schools

 Why?

 Some students need more time for learning

 Some need more support for learning

 How?

 Use systematic, school-wide processes that ensure

students are treated equitably

 Use timely procedures to identify needs so additional

time and support can be provided

 Provide, not just offer, directive interventions

 Monitor individual student progress

 DuFour, DuFour, Eaker & Karhanek, 2004

What is Math Achievement?



 Five strands according to the National Research

Council (2001)

 Understanding (mathematical concepts, operations and

relations)

 Computing (using math procedures)

 Applying (formulate problems and strategies for solving

them)

 Reasoning (using logic to explain & justify solutions

and extend from known to unknown)

 Engaging (seeing math as sensible, useful and doable)

What is Math Achievement? (cont’d)



 Two broad areas according to the Learning

Disability literature (Geary, 2003, 2004)

 Mathematics calculations (recalling basic facts, fact

fluency, recalling procedures, steps to be followed,

properties and rules for calculations, attending to and

following signs and symbols)

 Mathematics problem-solving (understanding math

vocabulary, reading word problems, sorting essential

from nonessential information, using a multi-step plan

to solve problems, choosing the correct calculation to

solve problems)

Screening



Two levels:

Level 1: Universal, general screening

Level 2: Specific, Tier 2 screening

Universal screening



 For all students:

 PLC teams can request prior report data through

the trained data coach or principal in their

building to identify below grade level math

students (based on four quarters from previous

year’s report card)

 During the pilot, this may be limited to students

in specific grade levels

 Person(s) responsible: PLC Team with

Administrative Input

Tier 2 Screening



 Multiple data sources

 For the students with 1’s and 2’s in math computation and

numeration (and number sense for Kdg.) on previous report cards,

the PLC team would analyze their Math Cards and use teacher/PLC

team recommendations for further screening

 Possible procedures: look at the consistency of the non-proficient

grades (1’s and 2’s), patterns on the Math Spreadsheet, the number

of re-teachings, as well as rank ordering students by degree of need

 Person(s) responsible: PLC Team and may include psychologist

and/or coordinator

 Additional screening for normative standing

 Administer three math probes and use the median score

Math probes selected for Grades 1-5



 Monitoring Basic Skills Progress (MBSP)

 Advantages:

 Brief math calculation checks



 Multiple skills included in each probe



 Already developed and available



 Widely used and cited



 Sufficient numbers of probes to avoid a learning

effect and to measure progress over time

MBSP Alignment with Curriculum



 Lead math teachers found good

alignment between the MBSP probes

and the LPS math curriculum at each

grade level

 Instruction for some of the skills occurs

later in the year so there is sufficient

ceiling in the probes

 The items on each probe are arranged

randomly sampling the whole year of

skills

Sample MBSP Computation Problems



Gr. 1: 6 52 7 8

-3 +12 +0 1

+0

 Each probe has 25 problems

 2 minute per probe at grades 1 & 2



 3 minute per probes at grades 3 & 4



 5 minute per probes at grade 5



 30 alternate forms per grade level

Administering MBSP



 Directions

 Practice

Scoring MBSP

 The probes will be scored by total digits

correct for the calculation probes, and

problems correct for the application probes.

Establishing Baseline



 Administer 3 math calculation probes

 Use the median score (not the mean) as the

baseline.

 Individual(s) responsible: Teacher, interventionist,

psychologist and/or coordinator

 MBSP probes will also be used for weekly progress

monitoring during intervention

LPS Math Curriculum (Tier 1)



 Houghton-Mifflin Math (Harcourt in Kindergarten)

 Thorough and research-based



 Intensive field-testing before adopted by LPS



 Focuses on conceptual understanding as well as skill

practice

 60-80 minutes per day, heterogeneous groupings



 High expectations for all children

 Supported and expected by district leadership



 Strict pacing is used to make sure students receive

instruction on essential objectives

LPS Math Curriculum - cont’d



 Systematic re-teaching of skills

 Required of all classroom teachers for

students who do not meet district

expectations for core objectives

 Re-teaching, re-testing & re-learning may

take 50-75 minutes per week

 May occur within or outside of math class



 Students are then re-tested on the skills

Overview of Intervention (Tier 2)

 Tier 2 Math Intervention

 Occurs in addition to classroom instruction (outside of regular math

time)

 Small groups

 Establish baseline for math skills level (e.g., median of 3

probes)

 Monitor progress with MBSP weekly probes

 Graph weekly data to provide ongoing feedback for teachers

and students

 Establish Goal lines with the expectation of one digit

improvement per week

2nd Grade Monitoring Basic Skills Progress: Calculation

20

Number of Digits Correct in 1 minute









16

15



11

10 10

9 9

7

10th% 6

3

2 2

0

9-7









9-14









9-21









9-28









10-5









11-2

10-12









10-19









10-26

Weeks of School Year

Tier 2 - cont’d



 When?

 Be creative - during unit studies, specials, etc.

 How long?

 At least three times per week (best practice

would be four-five times per week)

 Minimum of 90 minutes per week



 Depends on the response to intervention

Who administers interventions?



Certified Non-certified



Re-teaching X

intervention

Toolkit X X

Interventions

Standardized X (If trained)

Math

Interventions

What General Strategies Work?



(Gersten, Chard, Jayanthi, Baker & Lee, 2006)

 For low achieving students

(in order of effect sizes large to moderate)

 Structured peer-assisted learning in

heterogeneous groupings (.62)

 Systematic & explicit instruction (.58)

 Formative assessment data provided to

students (.57)

 Formative data provided to teachers (.51)

What General Strategies Work?



(Gersten, Chard, Jayanthi, Baker & Lee, 2006)

 For special education students

(in order of effect sizes large to moderate)

 Systematic & explicit instruction (1.19)

 Student think-alouds (.98)

 Visual & graphic depictions (.50)

 Structured peer-assisted learning in

heterogeneous groupings (.42)

 Data provided to students (.33)

Examples of Intervention



 Math chapter intervention materials (examples

later)

 Math Toolkit

 Specific math programs

 Math Steps (1-5)



 Knowing Math (3-5)



 Corrective Math (3-5)



 Number Worlds (K-2)

Math Steps



 Emphasis is on computation skills

 Individualized but not independent skill

practice

 Small group intervention

 Suggested that Math Steps be integrated with

opportunities for conceptual understanding

to increase deep understanding of the

computational algorithms

Knowing Math



 Designed for students in grades 3-5

 Conceptually-based math program

 For students who are two or more grade

levels below expected levels

 Small group intervention

 45 minutes, 4-5 days per week

 15 weeks of lessons

Number Worlds



 Researched based program

 Focuses heavily on the concept of number

sense

 Appropriate for primary grades

Corrective Math

 Grades: 3-5

 Provides intensive support for students who have difficulty with

mathematics

 Organized into seven strategic modules that provide teacher-

directed instruction on critical skills and concepts which struggling

students often fail to grasp

 Highly focused, intervention program consisting of seven modules

that offer quick, targeting intervention to build understanding of: *

Addition * Subtraction * Multiplication * Division * Basic Fractions

* Fractions, Decimals, and Percents * Ratios and Equations

 Focuses on core content and breaking this content into a series

of small conceptual steps and embedded skills, Corrective

Mathematics enables you to teach mathematics skills, rules, and

strategies efficiently and effectively.

 A placement test provides a plan that identifies which modules

need to be covered.

Math Toolkit



 Flashcard Intervention for Teaching Math

Facts

 Intervention to Increase Accuracy and

Productivity Rates Via Self-Monitoring

and Performance Feedback

 Intervention to Increase Accuracy By

Intermixing Easy and Challenging

Problems

 Cover-Copy-Compare

Example Math Intervention



1. Greeting and Opening

• students are presented with an opening question, a real

world math problem. Often times this was a graphing

question such as what toppings do you like on your

pizza or who is your favorite teacher?

2. Main Objective of the Day

• re-teaching of 1 or more objective(s) from math

curriculum (objective had already been covered in the

classroom)

• involves pencil and paper practice pages from online

curriculum resource

Example Math Intervention



• Strong use of manipulatives, number lines,

graphics and visual organizers and other teaching

strategies to present the material in a different way

than presented in class

• independent practice with corrective feedback

3. Fluency Practice

• flashcards, math fact games

4. FFF – Fast Fact Friday

5. Intervention varies for each grade.

Sharing Information



 Documents and Research Articles on

Docushare

 Docushare Discussion Boards

 Math Data Log

 Pilot Planning Pages

 Follow up sessions, December 4 and 11

 Topics to include: Kindergarten Interventions and

progress monitoring, Pilot Status

Norming

• During the 2008-09 school year, we will

be gathering district norms on LPS

elementary students using the MBSP

• Probes will be administered on a classroom wide

basis to randomly selected classes throughout the

district

Fall norming: October 13-17, 2008

Winter norming: January 12-16, 2009

Spring norming: April 14-17, 2009

Norming - cont’d

Kindergarten Winter, Number sense 1 min. each

spring only (3 mins. total)



1st grade F, W, S Computation 2 minutes



2nd grade F, W, S Computation 2 minutes



3rd grade F, W, S Computation, 3 minutes,

Application 5 minutes

4th grade F, W, S Computation, 3 minutes,

Application 6 minutes

5th grade F, W, S Computation, 5 minutes,

Application 8 minutes

References

 Clarke, B. & Shinn, M. R. (2004). A preliminary investigation into

the identification and development of early mathematics

curriculum-based measurement. School Psychology Review, 33, No.

2, 234-248.

 DuFour, R., DuFour, R., Eaker, R., & Karhanek, G. (2004)

Whatever it takes: How professional learning communities

respond when kids don’t learn. Bloomington, IN: National

Educational Services.

 Fuchs, L. S, Fuchs, D., Compton, D. L., Bryant, J., Hamlett, C.,

Seethaler, P. (2007). Mathematics screening and progress

monitoring at first grade: Implications for responsiveness to

intervention. Exceptional Children, 73, 311-330.

References - cont’d

 Fuchs, L. S., Hamlett, C. L., & Fuchs, D. (1998). Monitoring

Basic Skills Progress: Basic Math Computation (2nd Ed.)

[Computer software, manual, and black-line masters]. Austin,

TX: PRO-ED.

 Geary, D. C. (2003). Learning disabilities in arithmetic. In H. L.

Swanson, K. R. Harris, & S. graham (Eds.), Handbook of

Learning Disabilities. New York: Guilford Press.

 Geary, D. C. (2004). Mathematics and learning disabilities.

Journal of Learning Disabilities, 37, 4-15.

 Gersten, R. & Chard, D. (1999). Number sense: Rethinking

arithmetic instruction for students with mathematical

disabilities. Journal of Special Education, 33, 18-28.

References - cont’d

 Gersten, R., Chard, D., Jayanthi, M., & Baker, S. (2006).

Experimental and quasi-experimental research on instructional

approaches for teaching mathematics to students with learning

disabilities. A research synthesis. Signal Hill, CA: Center on

instruction/RG Research Group.

 National Research Council (2001). Adding it up: Helping children learn

mathematics. J Kilpatrick, J Swafford, & B. Findell (Eds.). Mathematics

Learning study Committee, Center for Education, Division of Behavioral

and Social Sciences and Education. Washington, D.C.: National Academy

Press.

 VanDerHeyden, A. M., Witt, J. C., Naquin, G. & Noell, G. (2001). The

reliability and validity of curriculum-based measurement readiness probes

for kindergarten students. School Psychology Review, 30, 363-382.



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