Measure, use, improve! : data use in out-of-school time

"Measure, Use, Improve! Data Use in Out-of-School Time shares the experience and wisdom from a broad cross-section of out-of-school time professionals, ranging from internal evaluators, to funders, to researchers, to policy advocates. Key themes of the volume include building support for learni...

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Bibliographic Details
Other Authors Russell, Christina A. (Editor), Newhouse, Corey (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K : Emerald Publishing Limited : Information Age Publishing, 2020.
SeriesCurrent issues in out-of-school time.
Subjects
Online AccessFull text
ISBN9781806604975
DOI10.1108/978-1-64802-255-5
Physical Description1 online resource (366 pages).

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Table of Contents:
  • Taking stock : investing in measuring our work in out-of-school time / Regino Chávez
  • What's your why? : matching evaluation approach to oganizational need / Jason Spector
  • Using data for learning : AI? funder's perspective / Rebecca M. Goldberg, Ashleigh L. Halverstadt, and Alex C. Hooker
  • Demystifying data : strategies and tools for making data more meaningful in OST programs / Hannah Lantos, Zakia Redd, Brandon Stratford, and Aasha Joshi
  • Navigating data systems selection : tools to ease the journey / Betsy Block
  • What, so what, now what : AI? game-winning plan for capacity building / Tasha Johnson and Aasha Joshi
  • From quantity to quality : lessons learned from an ongoing statewide initiative / Kim Firth Leonard, Celeste Janssen, and Belle Cantor
  • Putting data to work for young people : bridging practice and research through continuous improvement / Jessica Donner, Anamarie Auger Whitaker, Ann Durham, and Lisa Gomi Hui
  • Youth participation in evaluation : lessons from the past, opportunities for the future / Joseph Luesse and Kimberly Sabo Flores
  • Building effective continuous quality improvement systems : the need for evaluative thinking about out-of-school time program quality / Tiffany Berry and Michelle Sloper
  • Building evaluative thinking skills and capacity through M3 (Making Meaning of Multiple Data Sets) / Jocelyn Wiedow and Jennifer Griffin-Wiesner
  • A reservoir of insight : tapping youth feedback to inform continuous learning / Valerie Threlfall
  • How AI? frontier state grew OST quality from the ground up / Linda Barton, Kathy Schleyer, and Ellen Gannett
  • Beyond youth outcomes : thinking outside the logic model / Bryan Hall and Brenda
  • Giving data AI? voice through coaching : the Michigan example / Jamie Wu, Lorraine Thoreson, Trevor Davies, and Laurie Van Egeren
  • Walk the path together : partnering to advance data use / Miranda Yates, Stephanie Mui, and Jennifer Nix
  • Using data informed practices to support the onboarding and retention of youth development professionals / Jaynemarie Enyonam Angbah
  • Epilogue / Corey Newhouse.