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.
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| 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 | |
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- are we going to focus on GAi-assisted learning or GAI-facilitated assessments?
- Expectations of privacy and information flow.
- What are the ways the GAI tools can increase (rather than decrease) efficiency of our teachers?
- Need to clarify what assessments of student learning will incorporate GAI and which ones will not.
- Assessment needs for this undertaking. How do we define success here?
- structure and milestones - need to break into sub-teams?
- guidance and training for faculty- need another broadcast email to instructors.
Review categories of use cases and experiments above. Pick a few to focus on
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