Improvement Analytics: Learning from Data to Drive Improvement
Item
- Title
- Improvement Analytics: Learning from Data to Drive Improvement
- Abstract/Description
- How can data be used to drive improvement? Answering this question can be complex, and as years of research on data-driven decision-making in education highlights (e.g., Coburn and Turner, 2011), data don’t drive—people do. Using data for improvement purposes requires multiple enabling conditions, such as a common aim and a series of change ideas, i.e., intentional efforts to modify the myriad factors contributing to a system’s current level of performance. In this webinar, participants will engage with worked examples of a family of measures from Carnegie’s and SRI’s improvement efforts. Specifically, webinar participants will be taken through the process of developing a working theory for improvement, which will anchor a family of measures, and shown how to develop practical measures that can be used as part of an INCLUDES project’s effort to make progress on high leverage problems that orient the NIC.
- Date
- Institution
- See all items with this valueINCLUDES Center
- Resource status/form
- en Film/Audiovisual Recording
- IRE Approach/Concept
- Networked Improvement Community (NIC)
- Data Use
- Practical Measures
- Collaborative Data-Intensive Research (CDIR)
- Learning Analytics
- Empathy
- Grant funding
- National Science Foundation (NSF)
- Grant number
- National Science Foundation Grant #1650508
- Other related resources/entities
-
Carnegie Foundation for the Advancement of Teaching
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SRI International
- Citation
- Krumm, A. E., & Grunow, A. (2017). Improvement Analytics: Learning from Data to Drive Improvement [Webinar]. https://includescenter.org/webinars/improvement-analytics-learning-from-data-to-drive-improvement/
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