Using 4Sight Data to Drive Instruction

Tina Keller

Paula Bredl

MIU#4

Purpose of Benchmark Assessments

Benchmarks allow you to take a pulse

and not an autopsy.

Dr. Robert Slavin Success For All Foundation

DATA

Analysis/ Discovery

Solutions

Data-Informed Decision-Making Framework

Student Planning Process

Focus: Classroom of Students

Who: Teacher

Periodic Grade Level Planning Process

Focus: Groups of StudentsWho: Teacher Teams

How: Regular 1-2 hour meetings

Annual Building-wide Planning ProcessFocus: All Students

Who: School-wide TeamHow: Data Retreat, School Planning Process

District-Level Support(Budgetary Support, Professional Development, Resources and Time)

Student Learning Data

School Structures for Data-Informed Decision Making

School LevelPSSA & PVAAS

Standardized AssessmentsDistrict End-of-Year Tests

Final Benchmark Test

Classroom Level Initial: PSSA/PVAAS/final tests – student levelCyclical: •Benchmark Data – Student LevelContinuous•Individual Classroom Assessments•Progress Monitoring

Grade/Course LevelInitial: PSSA/PVAAS/final tests – class/subgroup levelsCyclical:

•Benchmark Data - grade level•District quarterly assessments•Common Classroom Data•Classroom Summaries

School Level •School Demographics•Discipline Data•Attendance Data•Mobility Rate

Grade/Course Level•Class Demographics •Class Engagement Data•Satisfaction Data•Attendance Data

Classroom LevelQualitative Data•Student Historical Information•Student Medical Information•Student Learning Information

Reports Available from 4Sight

Estimate of student performance on the PSSA by district, school, grade, individual level

Subgroup data Subscale reports for Math and Reading Item Analysis on test questions Individual student bar graphs

Math Proficiencies

Gr GP Below Basic Basic Proficient Advanced T BP P %Proficient

6 B 29 14 4 1 48 43 5 10

6 1 <> <>

6 2 <> <>

6 3 <> <>

6 4 <> <>

Gr =  Grade GP =  Grading Period T =  Total Number Of Students P =  Proficient Students BP =  Below Proficient Students

Sub-Scale Reports by Grade

Students Total Numbers and Operations (A) 13

Measurement (B) 6 Geometry (C) 4 Algebraic Concepts (D) 6

Data Analysis & Probability (E) 5

Joe Smith 17.0(40.48%) 6.0 (46.15%) 3.0 (50.0%) 3.0 (75.0%) 2.0 (33.33%) 2.0 (40.0%)

Averages 50.48 50.77 60.00 85.00 43.33 60.00

Individual Reports by Subscale

Item Analysis Report

Kit lives in a town where 6,307 children live. How is that number correctly written in words?

Respondents # Picked %

A six thousand, three hundred seven 27 9 33.33%

B six thousand, three hundred and seven 27 11 40.74%

C six thousand, three seven 27 5 18.52%

D sixty-three, and seven 27 2 7.41%

Let’s Look at Your Data“Data should be shared and analyzed by all members of the school community.”

(DuFour, DuFour, Ealer & Many, 2006)

Using Data Packets Handouts to Share Guiding Questions to Ask

– How many students were proficient? (Math/Reading and by Sub Groups)

– What are areas of strengths and weaknesses?– Why are we getting these results? – What did I do as a teacher to contribute to these results?– What is our challenge?

The Key to a Results-Driven Culture

Teams of teachers and administrators who… Share a common vision and set of goals Collect data on student performance Analyze these data Meet regularly to interpret these data for the

purpose of informing instructional decisions focused on increasing student achievement