Implementing Progress Monitoring



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Implementing Progress Monitoring Pennsylvania's Statewide Approach Pennsylvania Partnership for Professional Development Pennsylvania Training and Technical Assistance Network Pennsylvania Department of Education

Session Goal Provide an overview of Pennsylvania s statewide progress monitoring initiative including: The Approach Background and Getting Started: The Pilot The Design General Outcomes and Specific Skills The Training Plan Outcomes Challenges and Lessons Learned 2

PA: Who We Are! Pennsylvania Department of Education Bureau of Special Education PATTAN East, Central and West Intermediate Units School Districts Pennsylvania Partnership for Professional Development 3 Pennsylvania Training and Technical Assistance Network Pennsylvania Department of Education

Monitoring Student Progress: A Quick Detour Assessing Prior Knowledge 4

What is Progress Monitoring? Progress Monitoring is the ongoing process which involves: Collecting and analyzing data to determine student progress toward specific skills or general outcomes. Making instructional decisions based on the review and analysis of student data. 5

Initial Assessment: Direct Intervention Historical Data Standardized Assessments Diagnostic Assessment Progress Monitoring Cycle Curriculum Based Assessment Parent Input Ongoing Evaluation: Evaluate Effectiveness of Instruction by Monitoring Progress Record and Use Data to Assess Progress & Make Decisions Adjust Goals & Objectives Adjust SDI & Instruction As Needed Report to Parents Design Instruction: Develop Goals & Objectives Identify SDI Alignment to General Curriculum Instructional Grouping & Scheduling Identify Progress Monitoring Deliver Instruction: Deliver Instruction According to Goals & Objectives Using SDI Collect Data on Progress Monitor Student Response & Feedback

The Goals of Progress Monitoring Provide data to assist in making decisions about students To guide instructional decisions Provide data on student performance To determine current level of learning/behavior/performance To measure and report progress toward goals Provide data for the reevaluation process To determine if the student still meets eligibility for special education AND still needs specially designed instruction 7

Benefits of Progress Monitoring Parents and students know what is expected Teachers have organized record of students performance Teachers know what is working or not working with their instruction based on data Easy to Understand way to show parents the progress IEP teams have comprehensive data on student performance for decision making 8

Essential Elements of Progress Monitoring Measurable goals/outcomes Efficient and effective for use in the classroom Sensitive to increments of student growth Data driven Usable format Connected with general ed. curriculum/appropriate activities 9

Progress Monitoring in Pennsylvania A Two Prong Approach

A Two Prong Approach General Outcomes Appropriate for all students, including learning support and at risk students, working in the general education curriculum (reading and math) The goals and objectives are based in the general education curriculum Specific Skills Appropriate for all students with IEPs, particularly those with significant disabilities The goals and objectives are referenced to the general education curriculum 11

Assessment (A balance between outcomes based measurement and specific skills assessments) Specific Skills Representative Outcomes based Efficient 12

They are simple, accurate, and reasonably inexpensive in terms of time and materials. They are considered so important to doing business well that they are routine. They are collected on an ongoing and frequent basis. They shape/inform a variety of important decisions. 13

Models of CBA: General Outcome Measurement Standardized, Reliable, & Valid Index growth in general curriculum over time and across a wide range of skills May or may not be measuring directly the curriculum of instruction Do suggest when instructional modifications are needed Do not specifically suggest instructional modification 14

1. Measurable Annual Goals and Objectives PA s Seven Step Process to Progress Monitoring Monitoring: General Outcomes and Specific Skills 2. Data Collection Decisions 3. Data Collection Tools & Schedule 4. Representing the Data 5. Evaluation of Data 6. Instructional Adjustments 7. Communicating Progress 15

History of PM in Pennsylvania The Pilots Original mini pilot in spring, 2002 Statewide pilot, 2002 2003 Level I: Statewide Training and Implementation in 2003 2004 Level II Statewide Training and Data Collection in 2004 2005 Two year follow Up of original 14 districts in statewide pilot in spring 2005 Special Projects Reading Fluency (Hagar) Algebra (Foegan) Writing (Edwards Santoro) Specific Skills (Shapiro) 16

Statewide Pilot 2002 2003: Lessons from the Field

Purpose of Pilot Conduct a training project on the use of an outcomes based measurement approach to monitor student progress in reading and math Discuss the use of data based decision making How can the analysis of student data improve educational results? How can the analysis of student data suggest changes in instructional grouping, instructional strategies, motivation systems, etc.? 18

Participants and Target Areas 14 school districts and 71 teachers Special education teachers assigned to learning support or emotional support, grades 1 through 5 Each teacher monitored at least two students in oral reading fluency and math skills Selected measures were quick and easy to administer Site coordinators in each district facilitated the implementation of the project PaTTAN consultants University consultants 19

Materials for Monitoring Reading All teachers used the passages created and developed by the AIMSweb product Passages were written and developed with readability specifically for the various grade levels Students were assessed at levels indicated by teachers as providing reasonable challenge given current instructional level Math All teachers used the Monitoring Basic Skills Progress (MBSP), basic math computation and application blackline masters Students were assessed at levels indicated by teachers as providing reasonable challenge given current instructional level 20

Frequency of Monitoring Reading: Monitored 2xweek, with at least one day between assessments Math: Monitored 1xweek, with computation monitored one week and applications the next 21

Training and Support We taught teachers to: Collect data Graph data Display aim line or goal line Display trend line or inspect visually Use decision rules to inform instruction Training was provided via: Large and small groups at regional PaTTAN facilities On site visits and individual feedback meetings Whole group final follow up session 22

PM Implementation Teachers implemented progress monitoring Nov. through May Teachers graphed both reading and math data School district site coordinators facilitated communication between participating teachers and PaTTAN consultants PaTTAN consultants served as facilitators between site coordinators and University consultants 23

Statewide Pilot Outcomes PM was feasible for most teachers Teachers learned to collect and analyze data Some instructional arrangements presented PM challenges (full inclusion models) Additional training was needed on using data for instructional decision making Teachers found innovative ways to use the data (feedback to parents, IEP incorporation) 24

Results of Pilot All skills showed changes in desired direction during the course of the pilot Substantial improvements in many skills Confidence in the data increased in all areas Strongest teacher confidence in oral reading fluency and computation data Perceived importance of progress monitoring stronger after the pilot 25

Table 1.Summary of Teacher Self Reported Prior to Project As of March 2003 OVERALL Previous Experience w/progress Monitoring OVERALL Confidence in Using Data Reading Math Computation Math Concepts OVERALL Importance of Progress Monitoring 2.90 3.41 3.19 3.39 3.08 3.88 4.06 4.07 3.92 4.01 3.62 4.73

Lessons Learned Data collection was deemed doable by teachers Kids enjoyed participating More kids wanted to be involved More Professional Development needed for teachers and OTHERS Consider structural aspects of special education Instruction in inclusive settings Time allocated for reading/math instruction Juggling groups 27

Challenges Some computer problems Hand graphing Difficulty extending aimline Need to indicate interventions Time: How to fit in progress monitoring? Better use of instructional assistants Students do own graphing 28

Most Frequently Asked Question: How LONG does progress monitoring take? It s not an issue of losing time because progress monitoring helps make my instructional time more effective. Monitoring student progress optimizes my teaching because it makes it better. Teacher Pilot Project 29

Level I: 2003 04 Statewide Training and Implementation

Project Decisions: Mirrored Pilot Parameters Data Collection Decisions: Targets Oral Reading Fluency 2wcpm/wk Math Computation and Concepts/Application 1 dcpm/wk. Data Tools and Schedules 2x/wk reading, 1x/wk math. Data Representation Graphed via hand or electronic tool Decision Rule 4 of 6 data points 31

Roles and Responsibilities Teachers Site coordinators IU CSPD consultants PaTTAN consultants University consultants 32

Teachers Attend all scheduled trainings Participate in on site team visitations led by IU CSPD and PaTTAN consultants Implement progress monitoring by: Administering appropriate data collection tools Collecting, graphing and analyzing data Making instructional adjustments as appropriate Communicating progress 33

Teachers: Data Collection Expectations Choose at least 2 special education students Using the IEP, select an approach to monitor these students progress toward general outcomes or specific skills 34

Teachers: Data Collection Expectations Establish a baseline for each student based on the present levels of educational progress or baseline assessments on the skill Based on a student s expected rate of progress, establish an aim line (goal) for each student 35

Teachers: Data Collection Expectations Collect data on an ongoing basis according to the schedule you have established for progress monitoring Each teacher should have collected a MINIMUM of 6 data points on each student prior to the Day 3 training in Oct/Nov 2003 Create a folder for each student whose progress you will be monitoring 36

Teacher Expectations Set annual goals and objectives Determine baseline Determine target Map aimline Monitor frequently using decision rule Implement and monitor instructional change when decision rule is broached 37

5th grader, baseline 60wcpm in 2 nd grade text, goal 100wcpm in 3 rd grade text Robin's Reading ORF Data 150 140 130 120 Wait: 3 of 4 data points below aimline Wait: Data parallel to and hovering around aimline Make a change? All data points are above the aimline. If so, what? 110 100 90 WCPM 80 70 60 50 40 30 20 10 0 BL 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Weeks BL Goal Line WCPM Errors/M Trendline (WCPM)

Site Coordinators Attend pre training and all subsequent trainings with the district team Participate in on site visits led by PaTTAN and IU CSPD consultants Act as a liaison between the district and team and PaTTAN/IU consultants 39

Site Coordinators Support team in implementing progress monitoring Facilitate professional development efforts in progress monitoring with other special education teachers in the district Meet with other administrators in to move progress monitoring forward in the district 40

IU CSPD/PaTTAN Consultants Attend all series trainings Lead on site visitations with district teams Provide on going on site technical assistance and support as needed by district teams Review district team action plans Review data collected by districts 41

University Consultants Provide direction related to formal training content Provide technical assistance and support related to on site visits Develop Frequently Asked Questions/Answers Develop a process for collecting student data 42

Level I: PM Training Training Focus Progress Monitoring in Special Education Focus Areas Key Principles of Progress Monitoring District Action Planning On Site Visits Progress Monitoring Updates to Staff 43

PM Outcomes: 2003 2004 2,690 special education students Approximately 300 districts, 29 IU s trained LD = 1745; SED = 271; MR = 244 1967 = GOM ; 211 = SS; 166 = Behavior; 346 = undetermined 1395 = reading; 489 = math computation 50.8% weekly collection; 31.8% 2x/week FOR LD: 728 Reading, 230 Math 44

Questions Reading and Math Computation Average rate of gain across instructional grade levels? Average rate of gain across DIFFERENCES between enrolled and instructional grade levels? 45

Comparison of PA PM to Fuchs Study in Reading Instructional Level Grade Fuchs Study All Students LD 1 n/a.90.85 2 1.5 1.04 1.10 3 1.0 1.08 1.06 4 0.85 1.29 1.19 5 0.5.93.91 6 0.3 1.24 1.22

Comparison of PA PM to Fuchs Study in Math Computation Instructional Level Grade Fuchs Study All Students LD 1 n/a.17.18 2 0.3.40.56 3 0.3.32.35 4 0.70.52.56 5 0.70.21.25 6 0.45.47.58

Grade Minus Instructional Level Reading 2 1.8 1.76 1.85 1.6 Words Per Week 1.4 1.2 1 0.8 1.28 1.14 0.96 1.02 0.8 1.22 1.09 1.09 0.6 0.4 0.36 0.2 0 1 Grade Level 1 2 3 4 5 6 7 8 9 Diff Enrolled Instr Level

Grade Minus Instructional Level Math 0.9 0.85 0.8 0.77 0.7 0.6 0.55 0.61 Digits Cor Per Min 0.5 0.4 0.37 0.34 0.43 0.3 0.2 0.16 0.1 0 Grade Level 1 2 3 4 5 6 7 Diff Enrolled Instrc Level

Conclusions: 2003 2004 1. PM, especially GOM, reflect gains in student performance in reading and math computation 2. Teachers were able to conduct PM on student for entire year 3. PM should be widely adopted as method to reflect basic performance in reading and math 4. Established realistic goals for students with LD 5. Data collected 3 points in time can be used to reflect year long outcomes 50

2003 2004 Lessons Learned 1. Establish the data collection process at the start of the training year 2. Keep the data collection form simple 3. Focus data collection on GOM progress monitoring only 4. Enhance quality of training 51

Lessons Learned and Adjustments Made (cont.) 5. Frequency of collection can be reduced to weekly IF decision rules are also adjusted. 6. Teachers assessing fluency often do not view it as an outcome but as a skill. 7. Teachers are reluctant to increase instructional level when a student is doing well. 8. Savvy administrators use progress monitoring data to inform supervisory and programmatic decisions. 52

Level II: 2004 2005 Statewide PM Training and Implementation

Training Focus Using Data to Drive Instructional Interventions Content Area Intervention Reading Math Behavior Low Incidence Disabilities 54

Reading: Moving Beyond the Data Intervention s in Reading content Areas Language Development Fluency Vocabulary Comprehension Onsite guided practice 55

Math Training Math: Progress Monitoring in Math Additional training in math content areas Math Fluency Calculation Problem Solving Onsite Guided Practice 56

Behavior Training Antecedent and Consequence Strategies that Promote Individual and Group Behavior Change Making Data Based Decisions Analyzing the Efficacy of Interventions Prevention of Behavior Problems via Effective Classroom Management and Instruction 57

Low Incidence Disability Populations Effective instruction and researchbased interventions for school age students and early learners Onsite Guided Practice 58

Comparison of PA PM to Fuchs Study in Reading Instructional Level Grade Fuchs Study Reg Ed All SpED Students 2004 2005 LD 2004 2005 All SpED Students 2003 2004 LD 2003 2004 1 2.0 1.07 1.15 1.02.85 2 1.5 1.18 1.18 1.40 1.10 3 1.0 1.08 1.09.88 1.06 4 0.85 1.19 1.23 1.08 1.19 5 0.5 1.07 1.07 1.06.91 6 0.3 1.17 1.27 1.07 1.22

Comparison of PA PM to Fuchs Study in Computation Instructional Level Grade Fuchs Study Reg Ed PDE Benchmarks All SpED Students 2004 2005 LD 2004 2005 All SpEd Students 2003 2004 LD 2003 2004 1 n/a.3.29.27.17.18 2 0.3.3.31.32.40.56 3 0.3.3.35.33.32.35 4 0.70.45.26.27.52.56 5 0.70.45.19.20.21.25 6 0.45.19.22.47.58

Two Year Follow up on Statewide Pilot 2005 2006

Pilot Follow up 13 of 14 original pilot districts visited Personal interviews with Administrators Teachers (original) Teachers (newly trained. Review of student data Original students Present students 62

Status of PM in Pilot Districts 5 of the 13 are using progress monitoring as designed 2 maintained it in modified form 2 districts report use by a few teachers 4 districts have no concerted progress monitoring program. 63

Lessons Learned Successful Implementation of Progress Monitoring Requires Administrative mandate This is the way we do business here. Administrative Support However, we will provide all the training, support, time, and materials required for success. Time Teachers require two years to realize the benefits and efficiency of progress monitoring 64

Pilot District Ongoing Needs: Additional training in the use of progress monitoring to guide instruction. Training in the use of progress monitoring in full inclusion schools. Additional training in general outcome vs. specific skill monitoring. (Teachers continue to view ORF as a skill measure not a reading health measure.) 65

Progress Monitoring Efforts: 2004 2005 Intermediate Units

Progress Monitoring Expansion, 12/05 29 of 29 Intermediate Units Responded to a progress monitoring survey. These IUs serve 501 LEAs 433 of PA s 501 LEAs (86%) have received Level I Progress Monitoring Training. 67

PM Expansion 201 of the 433 (46%) trained LEAs provided turn around training. 377 progress monitoring events were provided thus far in the 05 06 school year. 162 events are planned for the remainder of the year. 68

Training Format Trained as Individual Teachers 31% Trained as District Teams 58% Trained as School Teams 11%

Implementation 11% Status not Reported 12% Trained LEAs have not Implemented (53) 31% Trained LEAs Implementing in all District Special Education Classes (1398) 46% Trained LEAs implementing in Individual Buildings or Classes (203)

Special PM Projects in PA Reading Fluency Automated progress monitoring system to allow students to record reading passages for automatic scoring Algebra Research effort to measure effectiveness of algebra probes Writing Research effort to generate information on the connection of various pm formats and writing instruction Specific Skills Analysis of data and use of data in PA s Schools for the Blind to better define pm with low incidence populations 71

Final Comments Confidence in PM as a valuable tool for monitoring student progress in special education Evidence of accountability: Administrative commitment is vital Evidence of growth for students in special ed (LD in particular)* Replication and strengthening of research findings over years Direct implications of research to practice 72

Quotable Quotes I had no idea how many instructional decisions I make every day, I need a nap. We want to participate in your data gathering effort. Progress monitoring has been very valuable to all our staff. It saves so much time. My IEPs are done! I know who is doing what and how well. (administrator on his staff) Students love charting their progress and beating their scores! 73