Education
summary
Session reports specific tools and outcomes: a traceback helper called python -m friendly explains errors in English and French, covers ~200 tested cases, and appears on hackandscience.org and futurequery.io; a learner-survey workflow yields clustering into learner personas (about 40–46 survey items informing 4–5 persona types); pedagogy emphasizes deliberate, varied practice with roughly 30% of class time devoted to exercises; remote teaching runs 78 virtual workshops in 14 months using replit.com plus Poll Everywhere for engagement, with login and firewall limits noted.
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chapters (9)
- 0:005:16: Welcoming and setup
- 5:1611:16: Opening remarks about the Education Summit
- 11:1634:45: Introducing Friendly (André Roberge)
- 34:4554:48: Learner Personas for Domain-Specific Data Science Educational Materials (Daniel Chen)
- 54:481:14:37: Practice makes perfect -- but what kind of practice? (Reuven M. Lerner)
- 1:14:371:37:12: From room to Zoom: Strategies and technologies for teaching Python workshops online (Marley Kalt)
- 1:37:121:46:41 Interdisciplinary Education case studies: applying Python to the Humanities, Social Sciences, & Arts (Chiin-Rui Tan)
- 1:46:411:53:28 Martian Math (Kirby Urner)
- 1:53:281:59:49: Closing
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