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C R E S S T / U C L A 1 UCLA Graduate School of Education & Information Studies Center for the Study of Evaluation (CSE) National Center for Research on Evaluation, Standards, and Student Testing (CRESST) John J. Lee Senior Researcher Quality School Portfolio Decision Support System: Transforming Data into Information

Quality School Portfolio Decision Support System: Transforming Data into Information

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Quality School Portfolio Decision Support System: Transforming Data into Information. John J. Lee Senior Researcher. UCLA Graduate School of Education & Information Studies Center for the Study of Evaluation (CSE) - PowerPoint PPT Presentation

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Page 1: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 1

UCLA Graduate School of Education & Information StudiesCenter for the Study of Evaluation (CSE)

National Center for Research on Evaluation, Standards, and Student Testing (CRESST)

John J. LeeSenior Researcher

Quality School PortfolioDecision Support System:Transforming Data into Information

Page 2: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 2

The Quality School Portfolio (QSP)

Without tools to investigate and understand results, more testing will not impact educational practice

Software for use by educators to organize, collect, interpret, and respond to complex data

UCLA, OERI, Stuart, and Joyce Foundation support

Page 3: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 3

QSP—Making Use of Testing and Other Information

Data ManagerResource Kit

Page 4: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 4

QSP Goals

Transform test and other results into usable, actionable form

Create coherent information structure for all members of the educational community (policymakers, administrators, teachers, and parents)

Encourage using information as the basis for making decisions about educational options and services

Raise capacity and efficacy of educators

Communicate findings in intuitive displays

Page 5: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 5

Learning to Use Results: QSP Features

Relies on external and internal sources of information

Easy access and display

Custom queries

Disaggregation

Report preparation

Page 6: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 6

Applying QSP

Use for school monitoring and improvement

For distance learning assessment reporting

For distributed program evaluation (LA’s BEST; Artful Learning)

Disaggregation

Individual longitudinal records

Page 7: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 7

How can the school focus on particular populations?

System Groups

Custom Groups

Combo Groups

Disaggregation

Page 8: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 8

Conditional Disaggregation: Eight Filters

Hispanic +

Boys +

9th Grade +

Spanish L1 +

Redesignated English

Magnet schools +

GPA below 2.0 +

Less than 2 years in the school

Page 9: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 9

Gauge Display

Page 10: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 10

Scatterplot

Page 11: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 11

Quick School Comparisons

Page 12: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 12

School Performance Reports

Page 13: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 13

Resource Kit MenuResource Kit Menu

Page 14: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 14

Resource Kit Functions

Clustered topics of resources

Selection or modification of instruments in a cluster given a description

Supports Acrobat Reader and Rich Text Formats

Customized entry of standard surveys, etc., to permit local use of evaluation data and simultaneous export of information to centralized sources

Page 15: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 15

QSP Resource Kit

Local data to answer local questions

Staff and student surveys, interview and observation protocols

Data entry mechanisms, e.g., student work—in process (digital portfolios)

Online assessments or surveys

Transfer into Data Manager

Page 16: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 16

Resource Kit Summary PageResource Kit Summary Page

Page 17: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 17

Extensions

QSP Web (currently in development)

Data analysis from descriptive to growth projection

Flexible report wizard

Improved Web training component

Page 18: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 18

User Challenges

Learning to ask productive questions

Looking at measures over time

Level of technical sophistication, e.g., hierarchical models, trajectories

Reports appropriate to various audiences and stakeholders

Page 19: Quality School Portfolio Decision Support System: Transforming Data into Information

C R E S S T / U C L A 19

Continuing Research: A Sample of Impact Questions

Who is helped? What kinds of schools, teachers, and students? How do experience, beliefs, knowledge condition impact?

Do administrative practices change at school, district and board levels?

What happens in classrooms? Is student growth affected? For how long? What kind of combination of information is needed (CRT/NRT, process)?