This week we are joined by Philip Guo and Sam Lau, researchers at the University of California, San Diego. Philip and Sam have recently published research on how computer science instructors use artificial intelligence tools like ChatGPT and GitHub Copilot in their classrooms. Join us to learn more about the data behind how generative AI is changing the way we teach computer science and coding.
Special Guests: Philip Guo and Sam Lau.
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Links:
- sam lau
- AI Code Generation Tools Study — From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot
- Pandas Tutor: Using Pyodide to Teach Data Science at Scale | Pyodide blog — Hi, we’re Sam Lau and Philip Guo, and we teach data science classes at UC San Diego. In this guest post we’ll tell you about our free educational tool, Pandas Tutor, that helps students learn data science using the popular pandas library. The above screenshot shows how you can use it to write Python and pandas code in a web-based editor and see visualizations of what your code does step-by-step.
- Pandas Tutor - visualize Python pandas code — Pandas Tutor lets you write Python pandas code in your browser and see how it transforms your data step-by-step. (If you use R, try Tidy Data Tutor. To visualize general Python, Java, C, C++, and JavaScript code, try Python Tutor.)
- Teaching Programming in the Age of ChatGPT — How computing instructors plan to adapt to ChatGPT, GitHub Copilot, and other AI coding assistants (ICER 2023 paper)
- Real-Real-World Programming with ChatGPT — Taking AI Far Beyond Small Self-Contained Coding Tasks
