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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)
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Quality School PortfolioDecision Support System:Transforming Data into Information John J. Lee Senior Researcher UCLA Graduate School of Education & Information StudiesCenter for the Study of Evaluation (CSE) National Center for Research on Evaluation, Standards, and Student Testing (CRESST)
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
QSP—Making Use of Testing and Other Information Data Manager Resource Kit
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
Learning to Use Results: QSP Features • Relies on external and internal sources of information • Easy access and display • Custom queries • Disaggregation • Report preparation
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
Disaggregation How can the school focus on particular populations? System Groups Custom Groups Combo Groups
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
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
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
Extensions • QSP Web (currently in development) • Data analysis from descriptive to growth projection • Flexible report wizard • Improved Web training component
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
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)?