AI Teaching & Learning Collaborative

The AI Teaching & Learning Collaborative is a faculty peer-learning initiative designed to help instructors navigate the rapidly evolving role of generative AI in teaching and learning. Rather than a traditional workshop or seminar series, the Collaborative brings faculty together to learn from one another by sharing experiences, questions, experiments, challenges, and practical approaches.

The Collaborative has two complementary components: an interdisciplinary Faculty Learning Community, where faculty learn together through ongoing discussion and exchange, and the AI Teaching Commons, which captures and shares practical teaching resources and insights emerging from the community.

As AI continues to evolve, faculty need ongoing opportunities to learn from one another and adapt their teaching. The Collaborative creates a space for faculty to explore emerging challenges and opportunities together, learn from colleagues across disciplines, and experiment with thoughtful and responsible approaches to integrating AI into teaching. We welcome SPH faculty from all disciplines, teaching styles, and levels of AI experience. No AI expertise is required.

Goals

The Collaborative aims to:

• Foster interdisciplinary peer learning around AI in teaching and learning.
• Build faculty capacity to continually adapt as AI technologies and educational practices evolve.
• Create opportunities to share questions, experiments, successes, challenges, and practical teaching approaches.
• Build a community that contributes to a growing body of shared knowledge and resources for SPH faculty.

Example Learning Topics

The Collaborative will explore foundational questions facing faculty while remaining responsive to new issues and participant interests as AI evolves. Topics may include:

Additional topics will emerge from participants’ questions, experiences, and evolving developments in AI throughout the year.

AI Teaching Commons

The AI Teaching Commons will launch in September as a growing resource for SPH faculty, extending the learning of the Collaborative beyond individual meetings by capturing and sharing what faculty are learning and trying in their teaching.

The Commons will include practical resources contributed by faculty, such as syllabus language, assignments, classroom activities, prompts, and assessment approaches, along with selected lessons and insights emerging from Collaborative discussions. Over time, it will create a shared resource so that faculty across SPH can benefit from the experiences and learning of their colleagues.

2026–2027 Learning Community Meetings

The Learning Community meets throughout the academic year on Thursdays from 1:00–2:00 PM. Meetings are interactive and discussion-based, with participants sharing questions, experiences, approaches, and lessons from their own teaching. Sessions may include brief faculty examples of what they have tried, facilitated discussion of what is working and what remains challenging, and opportunities to identify practical lessons and resources to share through the AI Teaching Commons. Peer learning and exchange are at the center of each session. Lunch is provided for participants who register in advance.

Interested in Participating?

The Collaborative welcomes faculty who are curious about AI in teaching, whether you’re just beginning to explore it or are already experimenting with AI in your courses. Faculty are welcome to join at any point during the academic year; participation does not require a full-year commitment. Participants are encouraged to bring their questions, experiences, and ideas and contribute to the shared learning of the community.

Faculty can register for upcoming Learning Community meetings here. For questions or additional information, please contact chdatascience@bu.edu.