These projects will continue into academic year 2026-2027:
- A Framework for AI-Related Teaching Choices
- Team led by Kiera Allison (Assistant Professor, McIntire School of Commerce, University of Virginia)
- Fall 2023 – Present
- This project explores how instructors across disciplines are experiencing, and adapting to, the impacts of AI on college writing. It seeks, moreover, to contextualize those adaptations within broader trajectories of curricular disruption and change. The project sheds light on the wide range of ways AI is integrated into, resisted within, or catalyzing change across various writing-inclusive disciplines.
- AI-Influenced Feedback Practices
- Team led by Breana Bayraktar (Educational Developer, Stearns Center for Teaching and Learning, GMU)
- Fall 2025 – Present
- This project involves two phases: Phase 1 will explore the impacts of AI on how instructors provide feedback to students and how instructors help students understand how to interpret/respond to feedback. Phase 2 will explore the impacts of AI on student responses to feedback.
- Enhancing Students’ Ethical Use of GenAI Tools through AI Literacy Activities
- Team led by Amanda Bryan (Assistant Professor, English, GMU)
- Fall 2023 – Present
- This project is designing, testing, and revising a set of AI literacy “onboarding” activities meant to enhance students’ AI literacy and ethical use of GenAI tools.
- Evaluating Student–AI Collaborations in Higher Education
- Team led by Kiera Allison (Assistant Professor, McIntire School of Commerce, University of Virginia)
- Fall 2023 – Present
- This project investigates the challenges of assessing student–AI collaborations and the redefinition of the unit of learning and work. Through iterative assignments, the study engages students directly in the assessment process to explore in what ways they perceive their roles and contributions within AI–assisted projects. Analysis of student perspectives surfaces critical questions about whether we should evaluate individual contribution or collaborative achievement, and about how to reconceptualize excellence, distinction, and rank in an era of distributed cognition.
- Integrating GenAI and Ethical Reasoning into the Engineering Design Process
- Team led by Esther Tian (Associate Professor, School of Engineering, University of Virginia)
- Fall 2025 – Present
- This project will develop, implement, and evaluate instructional modules and case studies that integrate generative AI use and ethical reasoning into the engineering design process, addressing an urgent pedagogical gap as AI reshapes engineering practice. These educational resources will be co-designed with fourth-year engineering students and piloted with first-year students at UVA and James Madison University, enabling authentic and diverse perspectives that will enrich the resources and make them broadly applicable across contexts.