DatabasED

The Education "Data Digestive System" with John Watson


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In this episode, we talk with Dr. John Watson, data scientist at the San Diego County Office of Education, about the ways in which data scientists provide value for education organizations. We touch on the evolution of standards in education and the need to be aware of multiple intelligences (both within students and within educators looking at data); the (ideally) iterative process of data solutions and output within education agencies; the “emergency data collection” that occurred at the beginning of the pandemic; the development and limits of standards in the health and education sectors; and trying to balance rapid technological advances with the need for stability and investment in training.

Episode resources:

San Diego County Office of Education: https://www.sdcoe.net/Pages/Home.aspx 

Baker, R. S., Berning, A. W., Gowda, S. M., Zhang, S., & Hawn, A. (2020). Predicting K-12 dropout. Journal of Education for Students Placed at Risk (JESPAR), 25(1), 28-54. (early access version: https://www.upenn.edu/learninganalytics/ryanbaker/PredictingK12Dropout.pdf)


Music: Exploring The World by Vlad Gluschenko is licensed under a Creative Commons License. https://creativecommons.org/licenses/... https://soundcloud.com/vgl9Support by RFM - NCM:

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DatabasEDBy INsite at Education Analytics