Teaching and Learning

Teaching Examples from HKS Faculty

See below for concrete examples shared by HKS faculty about how they use Generative AI in their teaching, along with motivations and lessons learned. [Intranet access required.]

Simulation Drafting: Professor Nancy Gibbs uses generative AI to draft simulation roles in her course, The Politics of the Press.
Taking on Personas: Professor Hong Qu uses generative AI to fill domain-specific roles, such as design critic, in his course, Data and Information Visualization.
Sample Syllabus Policies: Real examples, used with faculty permission, of a spectrum of syllabus policies on generative AI in HKS courses.

If you would like to contribute an example of using generative AI in your HKS teaching, please contact Mae Klinger.

Leveraging AI for Teaching and Learning

The Leveraging AI for Teaching and Learning document is a text companion to HKS Professor Dan Levy’s August 2023 Faculty Workshop, “Leveraging Generative AI for More Effective Teaching and Learning.” It summarizes Professor Levy’s ideas and advice to faculty from a specific moment in time. Faculty may use this document as a jumping off point to explore Generative AI for teaching and learning, or as a summary of content from the workshop. It aims to provoke rich questions on the use of AI in teaching/learning at HKS.

Getting Started with Prompts

HUIT provides a basic overview of how to generate better prompts when chatting with LLMs. OpenAI also provides a more detailed guide on prompt engineering.

Using AI to Summarize Course Evaluations

One promising use of Generative AI is processing the qualitative text comments in course evaluations. HKS faculty members have access to a Course Evaluations Summary Tool in PingPong (log-in with HarvardKey), and SLATE has created a list of suggested "add on prompts" to get more out of the analysis from this tool.

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