1 / 9

Getting to Know the New Data on Demand Tool

Getting to Know the New Data on Demand Tool. Craig Hayward, Willard Hom, Rick Fillman & Alice van Ommeren Granlibakken , April 27, 2009. Data on Demand: Background. Willard Hom & Alice van Ommeren Chancellor’s Office, CCCO. Data on Demand: System Goals.

prentice
Download Presentation

Getting to Know the New Data on Demand Tool

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Getting to Know the New Data on Demand Tool Craig Hayward, Willard Hom, Rick Fillman & Alice van Ommeren Granlibakken, April 27, 2009

  2. Data on Demand: Background Willard Hom & Alice van Ommeren Chancellor’s Office, CCCO

  3. Data on Demand: System Goals • District and college level program evaluation and improvement • Promote local accountability • Leveraging state’s data resources • Improving data with usage

  4. District-level program evaluation & improvement • Scarce state-level funds for conducting local research • Variation by district vs. one-size fits all path • Empowers institutional researchers on campus (leverage local resources and build local capacity)

  5. Promote local accountability • Part of ARCC philosophy of local accountability • Empowers district trustees and boards • Respects community-specific interests • Avoids political issue of imposing a single state model on different communities

  6. Leveraging state’s data resources • Efficiency in operations (avoid multiple data systems and data collection)

  7. Improving data with usage • Data quality as an iterative process • Data usage (an output) as a trigger and reminder

  8. The “Flip Side” • Standard data but not “standard analyses” • State-level conclusions hard-to-get • Coordination as obstacle to linking local efforts

  9. The Data on Demand site provides access to: • Referential Data Files • Categorical Pre-Allocation Data Files • Accountability Reporting for Community Colleges (ARCC) Data Files • Perkins Core Indicator Data Files • Custom Student Data Files and Reports

More Related