Teaching, Learning, and Assessing with Integrity in the Age of Generative Artificial Intelligence

Advanced technologies such as artificial intelligence, that have upset historical notions of what it means to learn with integrity. Dr. Eaton will share highlights from emerging research on promising practices and uses along with issues and challenges. Learn about current and upcoming issues related the use of generative artificial intelligence (Gen AI) and other advanced technologies for teaching, learning, and assessment. We’ll also look at current trends and strategies used across the educational sector to uphold academic integrity. We will also look towards the future, including promises, perils, and probabilities about what to expect in the coming years.

Sarah Elaine Eaton, PhD, is an associate professor at the Werklund School of Education, University of Calgary, Canada. She has received research awards of excellence for her scholarship on academic integrity from the Canadian Society for the Study of Higher Education (CSSHE) (2020) and the European Network for Academic Integrity (ENAI) (2022). Dr. Eaton has written and presented extensively on academic integrity and ethics in higher education and is regularly invited as a media guest to talk about academic misconduct. Dr. Eaton is the editor-in-chief of the International Journal for Educational Integrity (Springer). Her books include Plagiarism in Higher Education: Tackling Tough Topics in Academic Integrity, Academic Integrity in Canada: An Enduring and Essential Challenge (Eaton & Christensen Hughes, eds.), Contract Cheating in Higher Education: Global Perspectives on Theory, Practice, and Policy (Eaton, Curtis, Stoesz, Clare, Rundle, & Seeland, eds.), Ethics and Integrity in Teacher Education (Eaton & Khan, eds.), and Fake Degrees and Fraudulent Credentials in Higher Education (Eaton, Carmichael, & Pethrick, eds.). She is also the editor-in-chief of the Second Handbook of Academic Integrity (2024, Springer). Eaton leads the University of Calgary transdisciplinary research project: Artificial Intelligence and Academic Integrity: The Ethics of Teaching and Learning with Algorithmic Writing Technologies.