Panel: Jupyter in Education
summary
Faculty report using Jupyter every day for four years and running a 14‑week data engineering sequence by provisioning Docker images and DigitalOcean droplets so students can spin up containers, SSH in, and build a pipeline from web app to storage without local installs. Notebooks let students record a microphone sample and see a Fourier transform in 10 minutes, but instructors note students need explicit training — a first-year writing experiment (3.5 years ago) showed markdown, cell execution, and workflow concepts do not transfer automatically.
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chapters (6)
- 0:00Education and Jupyter
- 4:28Infrastructure challenges
- 7:27Maker pedagogy approach
- 11:09Library and publishing
- 15:47Assessment and teaching
- 19:42Equity and engagement
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