Our 2 year goal, by the end of AY 24-25, is to produce GAI-enabled course structure across the introductory STEM curriculum.
The tools should be agnostic to the textbook(s) used in the course, and should be implementable with a minimal time investment in courses nationwide.
Initial backend is likely to be ChatGPT, currently at version 4, but we should strive to build an architecture that can evolve and adapt to new and better and different tools. We need to have an overall architecture philosophy evolve with our development spirals.
...
| respondent | notes | |
|---|---|---|
| Carlos Argueles | carguelles@fas.harvard.edu | Hola Chris: Thanks for sending this email. I am very excited about this new technology. In fact, with Louis Deslauriers, we used some of it in my Physics 15B last semester. Carlos |
| David Malin | using it now in CS50 with custom interface | |
...
Do we need a hierarchical access structure where instructors have access to selected student GAI sessions?
Do we need course-specific student accounts?
What are privacy expectations?
How would student GAI sessions be 'submitted' and 'graded'?
propose 3 subgroups:
1) virtual tutor, mainly conceptual content
2) GAI + notebook for data exploration and quantitative problems
3) Course support and faculty guidance.