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 |
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- How do we integrate these learning tools with existing platforms? Examples include Canvas, grade sheets, Sharepoint, Jupiter notebooks, Open OnDemand, data repositories, assignments, work-uploading tools, etc?
- What is the best approach to licensing and token-purchasing?
- How do we throttle and regulate non-course abuse?
- How do we develop, curate, and support the use of this new toolkit?
- What are institutional roles, responsibilities, accountabilities, and authorities?
- What staffing is needed, at what levels of the organization?
- Who pays for what?
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