Generative AI Teaching Grants

Grantees will be paired with a member of the GenAI Grant team who will consult on the implementation of GenAI and gather student feedback. Grantees will submit a description of their GenAI intervention and reflection on the work. Gen AI grants offer project support funds up front ($500) and a stipend of $1000 (research/PD funds or payroll payout) upon completion. 

We welcome proposals from all disciplines. Applications for first round consideration are due by noon EST on December 18, 2024 and awards will be made by Friday, December 20, 2024.

Preview the application (Creates a Google Doc Copy) then submit your answers to the GenAI Grant Application form. 

Faculty are encouraged to consult DCAL's guidance on Teaching with GenAI and availability of GenAI tools at Dartmouth in designing their course activities.

Six examples of Gen AI interventions other faculty have implemented: 

Music and AI: Aesthetics, Algorithmic Culture, and Policy: A new seminar course exploring the interplay between music, AI and policy in shaping contemporary culture and creative labor. Read the full Music and AI case study. (Georgetown)

Introduction to Digital Humanities II: Algorithmic Approaches to Culture: Students had the option to use ChatGPT to generate a first draft of their final paper. They were then required to edit and refine this AI-generated draft to meet academic standards, submitting both the original AI draft and their revised version. Read more about Digital Humanities II. (Yale)

In a computer science course, students used AI to enhance search engine results as a means to find reliable references. By engaging AI in their research work, students gained hands on experience while also cultivating a deeper understanding of the ethical implications and limitations of AI in research. Read about AI in a computer science course. (Georgetown)

Media and Democracy: Redesigned an Op-Ed assignment to include AI usage. Students prompted AI to write an op-ed, then fact-checked and critiqued the AI-generated content before rewriting it themselves, fostering critical analysis and understanding of AI's capabilities and limitations. Read about the Media and Democracy course. (Yale)

A public policy program employed AI as a tool to assist students in analyzing and applying findings from big data, such as cell phone records, to public policy discussions. Students engaged with multimedia storytelling to share their results. Read about this public policy application of AI. (Georgetown)

A Dean at Harvard Medical School incorporated AI in educational course design by having students create AI-generated syllabi and lesson plans, thus integrating AI into curriculum development to enhance creativity and teaching efficiency in social science education. Watch Tari Tan describe the application of AI in course design. (Harvard)

Review further examples from peer institutions: 

• Yale's Poorvu Center for Teaching and Learning AI Teaching Examples
• Harvard's Teaching with AI Resources for Faculty
• University of Michigan's Generative AI Course and Assignment (Re-) Design Guide
• Georgetown's Gen AI Exploration Projects (2023)

If you would like to discuss your idea before submitting, please email dcal@dartmouth.edu to schedule a consultation.