Teaching Data Science in Adverse Circumstances: Posit Cloud and Quarto to the Rescue
summary
Argues that curriculum redesign plus easy cloud tooling makes data science feasible under severe constraints: uses posit.cloud and Quarto free tiers to run R on phones and decade‑old laptops, publishes Spanish materials under open licenses, and shifts early weeks to low‑barrier tests like chi‑square. Cites over 50% without laptops and 113% inflation as constraints, shows it works via student projects (color classifiers and film color timelines) and successful classroom uptake.
AI-written summary · about
chapters (7)
- 0:00Teaching in Argentina
- 2:08Overcoming resource barriers
- 4:09Addressing language barriers
- 6:03Curriculum and pedagogy
- 9:02Student projects and expertise
- 13:04Conclusion
- 13:33Q&A session
related talks
46mData Science Training in Communities with Limited Technology Resources
19mData science education as a public health intervention in E. Baltimore
19mEmpowering Learners with WebR, Pyodide, and Quarto
13mMobile Education App during COVID | Teaching Data Science
24mData Centricity - Rethinking Introductory Computing To Support Data Science
14mDesigning a Socially-Critical Data Science Course
20mData Science Education in 2022
18mHow Data Science Can Unlock Teaching & Learning at Scale