Rethinking courses in response to generative AI by centering human judgment, whether by limiting AI, using AI with purpose, or a combination of both.

The wide availability of generative AI tools has changed what many assignments and assessments measure. It has also created an opening to rethink how students learn and how they show what they know. The Teaching and GenAI Initiative (TGAI), a partnership between DCAL and LDI, invites instructors teaching courses for credit in any Dartmouth school to propose a redesign of a course that responds to the existence of AI tools. 

These grants are supported and funded by the Dartmouth AI Strategy Phase I Pilot. 

Redesign Projects

Projects should aim to redesign a course in ways that respond to the existence of AI by strengthening human judgment, whether by limiting AI, using AI with purpose, or a combination of both. Course redesigns should align with the staged approach to AI literacy and core capacities outlined in the draft Core Capacities for Human Judgment framework:

• Acquiring academic and disciplinary knowledge
• Exercising critical inquiry
• Acting ethically
• Exercising responsible agency

Projects should center these capacities while situating them within the stage(s), or category(ies), appropriate to the course. All disciplines and perspectives on AI are welcome.

Projects may take one or both of the directions listed below: 

1. Redesigning to limit AI:  Redesign assessments to limit or preclude AI use, building and making visible students’ capacities for acquiring disciplinary knowledge, exercising critical inquiry, acting ethically, and exercising responsible agency. Approaches might include: 

• process-based assignments; 
• oral components; 
• two-stage exams; 
• project- or team-based learning; 
• reimagining use of class time to engage students in reading, writing, problem-solving, argumentation, or analysis with you and their peers.

2. Redesigning to integrate AI with purpose: Design-guided student use of AI tools that serves your course learning goals. Approaches might include: 

• activities to help students understand the importance of verifying output and identify hallucinations and bias; 
• personalizing learning, such as creating flashcards, study guides, and quizzes to augment learning; 
• integrating the Dartmouth Libraries Connector Tool into research; 
• data analysis and visualization for presenting research results; 
• using AI to elicit feedback on arguments from different perspectives; 
• role-play or simulation, such as interviewing a simulated patient, client, or historical figure;
• building simple apps, simulations or visualizations of course concepts with AI coding assistance; 
• prototyping a game, tool, or interactive exhibit 
• writing and debugging code for data processing, text analysis, or computational modeling. 

The Grant

A substantial restructuring of a course, such as reorganizing how class time is used or redesigning the course’s major assessments, with a $1,500 stipend. Course Redesign grantees work with the grant team during a design period before teaching the redesigned course.

Past grantees are welcome to apply again, though each application should propose new work.

Stipends are paid as research/PD funds or payroll upon completion. You are responsible for checking your department's policies on receiving funding.

What Grantees Receive

Each grantee is paired with a grant team member who consults on design and helps gather student feedback. Grantees join a cohort of instructors doing similar work. 

How Proposals Are Reviewed

Proposals are reviewed on:

• alignment with the grant’s goals (see Redesign Projects above)
• the clarity of the redesign focus
• the potential benefit for student learning, including for students with varied needs
• the feasibility of completing the redesign in the proposed timeline

Eligibility and Deadlines

Deadlines: 

The current call for proposals is open for (a) courses in Winter 2027 and (b) courses offered in Spring, Summer, and Fall 2027. 

• Applications for Winter 2027 are due Sunday, November 15 at 11:59 p.m. ET and awards will be announced by Monday, November 23, 2026. 
• Applications for Spring, Summer, and Fall 2027 are due Sunday, January 17, 2027 at 11:59 p.m. ET and awards will be announced by Friday, February 12, 2027. 

Instructors interested in using AI are encouraged to consult the Teaching and GenAI Initiative website, including guidance and examples, and ITC's Dartmouth Chat resources.

If you would like to talk through an idea before applying, schedule a Generative AI in teaching and learning consultation.

To apply, click here