Mobile Education App during COVID | Teaching Data Science
summary
University shifts to mobile because more than half had no laptop; a Shiny mobile PWA wrapped with shinymobile becomes an emergency feedback tool, then an Android wrapper, and finally a native app built with Flutter and Firebase, back end analyses in R via a Plumber API and authentication handled by cognitoR/Google. After three weeks models show predictive power for course completion; instructors find the summaries useful, but simultaneous logins crash the initial server and NLP needs course-specific tuning.
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chapters (10)
- 0:00Introduction
- 0:54Learning analytics in pandemic
- 2:00First feedback tool
- 3:24Shiny mobile app
- 5:39Android wrapper limits
- 6:44Research results
- 8:08Language model challenges
- 9:17Beta with Flutter
- 10:20Content recommendations
- 11:24Instructor feedback
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