The Hub for AI and Data Science Leadership (HAIL) invites University of Pittsburgh faculty to submit short reflections on their experiences navigating the role of artificial intelligence in teaching and learning.
Across Pitt, faculty are experimenting with how best to design responsible practices for AI use in education -- some are integrating AI tools directly into assignments and classroom activities, and others are intentionally choosing not to incorporate AI. While the ways that specific AI technologies can augment or hinder learning goals will necessarily depend on the particular context, there are likely to be important lessons and innovations across disciplines and fields.
We welcome submissions describing both successful experiments and meaningful challenges, including cases in which faculty intentionally limited or avoided the use of AI in their teaching strategies because of the results of their experimentation.
Through AI Teaching Field Notes, HAIL hopes to build a growing collection of real teaching insights that help our community navigate the opportunities and challenges of AI in education.
SUBMIT HERE!
Awards
- Up to 15 stipend submissions that the HAIL Leadership group will review
- $300 stipend for each selected contributor
- Selected field notes will be featured on the HAIL website and highlighted in blog posts that share teaching insights with the Pitt community.
Eligibility
Submissions must come from University of Pittsburgh faculty who are responsible for teaching or designing structured learning experiences, including:
- Undergraduate courses
- Graduate courses
- Faculty-led workshops or instructional programs
- Other structured educational activities
Submissions must describe actual teaching experiences that have already occurred, rather than future plans.
Submission Requirements
Applicants should submit two components.
Written Field Note
A maximum one-page description (12-point font, single-spaced) that includes:
- Teaching context: Field or topic, course level, and student audience.
- Your approach to AI: Whether AI tools were used, intentionally limited, or intentionally excluded.
- Technologies considered or used: If applicable, the tools, models, or platforms involved.
- Goals of the approach: What learning outcomes or challenges did you aim to address?
- Responsible AI considerations: How pedagogical or responsible technology considerations informed your decisions.
- Lessons learned: What worked, what challenges emerged, and what others might take away from your experience.
Video Reflection
A 5-video recording describing your experience and reflecting on what you learned from the process.
SUBMIT HERE!
Selection Criteria
Submissions will be reviewed by the HAIL Leadership Team and evaluated based on:
- Clarity and thoughtfulness of the reflection
- Creativity or intentionality in the teaching approach
- Relevance for instructors across disciplines
- Practical lessons that can benefit the broader Pitt community
Transparency in AI Use
If AI tools were used in drafting submission materials, this should be clearly acknowledged.