Academic Integrity and Artificial Intelligence: Strategies for Responding

Academic Integrity and Artificial Intelligence: Strategies for Responding Description: Educators are increasingly concerned about the unauthorized use of Generative Artificial Intelligence (GenAI) in their courses, especially with growing evidence showing how it undermines student academic and personal development. Given this, how can we help students to be critical of GenAI tools, and learn to draw boundaries around them, to support their learning? Join us for a keynote address and faculty panel discussion addressing these concerns by focusing on promoting student responsibility and academic integrity. Keynote: Liz Karns (Dept. of Statistics and Data Science, Cornell Bowers CIS), will discuss the impact of GenAI on teaching and learning at Cornell and share practical tips from her research for instructors looking to proactively and productively respond to GenAI use and misuse in their courses. Faculty Panel Discussion: Tim Riley (Mathematics, College of Arts & Sciences) and Kate Navickas (John S. Knight Institute for Writing in the Disciplines, A&S) will share how they have designed assessments to help students take ownership of their learning. Riley will discuss how he converted the assessments in his Introduction to Analysis course from a prelim-prelim-final model to a homework portfolio and quizzes with multiple attempts. Navickas will share how she creates a culture of accountability in her First Year Writing Seminar courses using different strategies including scaffolding assignments, a labor-based grading contract, and student reflections. Both the keynote and panel will be followed by Q&A sessions for faculty. Register here!