Sharing computational course material at larger scale: a French multi-tenant attempt
summary
A French multi-tenant project produces a shared corpus of modular Python training units claiming FAIR reuse rather than full courses, built as markdown/Jupyter artifacts and licensed CC BY‑SA style. It already assembles 80 Jupyter worksheets, runs on Jupyter with Jupytext and mist markdown, tracks sources in mercurial, and has been used in two classes with ≈400 students expected next year. Work includes a simplified debugger UI idea, adaptive-learning experiments, and practical conventions for composing and reusing small learning activities.
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chapters (8)
- 0:00Python course project intro
- 5:24Reinventing Python teaching?
- 11:02Project design and support
- 17:46Engaging students
- 23:20Reusable learning activities
- 27:19AI era teaching basics
- 28:45Course materials tech
- 30:12Q&A
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