quality school portfolio decision support system transforming data into information
Download
Skip this Video
Download Presentation
Quality School Portfolio Decision Support System: Transforming Data into Information

Loading in 2 Seconds...

play fullscreen
1 / 19

Quality School Portfolio Decision Support System: Transforming Data into Information - PowerPoint PPT Presentation


  • 135 Views
  • Uploaded on

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)

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Quality School Portfolio Decision Support System: Transforming Data into Information' - kolya


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
quality school portfolio decision support system transforming data into information

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
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 goals
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
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
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
Disaggregation

How can the school focus on particular populations?

System Groups

Custom Groups

Combo Groups

conditional disaggregation eight filters
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
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
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
Extensions
  • QSP Web (currently in development)
  • Data analysis from descriptive to growth projection
  • Flexible report wizard
  • Improved Web training component
user challenges
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
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)?
ad