Experiential Learning as an Equalizer: Supporting Postsecondary Students in Developing Their Digital and AI Literacies

• In Event: Literacies of Technology as an Agent of Change in Teaching and Learning

Abstract

This paper explores the integration of generative artificial intelligence in post-secondary education through the lens of experiential learning theory. Utilizing a mixed-methods research design, the study investigates how AI enhances each stage of the ELT cycle—concrete experience, reflective observation, abstract conceptualization, and active experimentation. Preliminary findings indicate generative AI tools boost student engagement, creativity, and critical thinking. However, challenges such as technological dependence, bias in AI content, data privacy concerns, cognitive overload, and ethical dilemmas also emerge. This study offers valuable insights for educators, policymakers, and AI developers. The findings underscore the potential and constraints of AI in education, aiming to inform effective and ethical integration strategies that enhance student learning experiences in post-secondary education.

Author

• Nadia Delanoy, University of Calgary