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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| Other Authors | , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Bingley, U.K :
Emerald Publishing Limited : Information Age Publishing,
2020.
|
| Series | Current issues in out-of-school time.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781806604975 |
| DOI | 10.1108/978-1-64802-255-5 |
| Physical Description | 1 online resource (366 pages). |
Cover
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.