Teaching Judgment in the Use of AI in Higher Education: Association Webinar Resource for the Adoption of the REACT Framework

Abstract

This Association Webinar Resource presents the REACT Framework as a practical approach for teaching judgment in the use of artificial intelligence in higher education. Developed for a presentation delivered at the Pôle d’éducation entrepreneuriale au collège (PÉEC) on March 11, 2026, it was prepared for an association representing 20 colleges (CEGEPs) in Quebec, Canada. The resource was created to support teachers, educators, and researchers from Quebec’s college network in understanding, reviewing, and facilitating the adoption of the REACT Framework and its accompanying rubric. It also serves as a resource description and pedagogical abstract of the article Framework for Teaching Judgment in the Use of AI, originally published by Professors Thomas Hormaza Dow and Morris Nassi in Éductive on November 27, 2025. The presentation translates the article’s main ideas into a structured, accessible format for professional learning, pedagogical application, and broader dissemination. The resource explains the shift from simple AI policies based on prohibition, permission, or disclosure toward a professional-practice model centered on Reason, Evidence, Accountability, Constraints, and Tradeoffs. It also outlines how REACT helps make student reasoning visible, supports fairer assessment, protects privacy and integrity, and prepares learners for responsible decision-making in real professional contexts. This webinar resource is intended to help postsecondary educators adapt REACT across disciplines and strengthen judgment-centered teaching in an era of AI-assisted work.

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