Session T-05 - Topics: Student-Centred Open Source GenAI; Academic Integrity Modules; "Do’s and Don’ts” of Generative AI

As GenAI tools become embedded in students’ academic lives, postsecondary institutions face increasing pressure to provide guidance that goes beyond policy statements and academic misconduct warnings. This presentation describes a practice-based design case focused on pedagogical choices in the creation of GenAI QuickStart, a modular, student-facing program developed through cross-unit interdisciplinary collaboration between Concordia and McGill Universities to support ethical, critical, and pedagogically sound use of generative AI across disciplines and study levels. Rather than positioning AI as either a prohibited shortcut or a universal solution, the program frames GenAI use as contextual academic decision-making shaped by learning goals, disciplinary norms, and instructor expectations. Developed collaboratively by Concordia and McGill Libraries, eConcordia, Concordia University’s Learning Services, the Centre for Teaching and Learning, Student Advocacy, and Graduate Professional Skills units, the initiative consists of five short modules addressing AI tools, learning support, academic integrity, faculty expectations, and graduate research use. As an open educational resources currently available in English, with a French version in development, the modules invite participants to consider how similar approaches might be adapted within their own institutional contexts to support student agency and academic integrity in the evolving GenAI landscape.

This presentation explores the initiative implemented at Vanier College to foster a culture of academic integrity: the online modules that are compulsory for all new students: All About Academic Integrity. These five interactive modules educate students on ethical academic practices and their responsibilities in that regard, looking at what integrity means, as well as misconduct, plagiarism, navigating generative AI, and students’ resources. The presentation will demonstrate the content of the modules, their features, which include integrative activities and practical scenarios from across disciplines. It will then discuss how these modules are being implemented. This presentation offers valuable insights into how the modules support the College’s institutional standards and how they empower students in respect to academic integrity.

Clarity is key when communicating to students the “do’s and don’ts” of Generative AI use during assessments. Establishing a set of coherent descriptions, accompanied by easy-to-recognize visuals, can reduce stress and confusion among students. However, making and communicating such choices can be stressful and confusing for teachers with diverse skillsets and attitudes towards AI. In this talk, we share experiences of the adoption of a five-level AI assessment scale at college level — from no AI use permitted through to AI as a necessary ingredient of the work itself — including the steps, the obstacles, and the concrete lessons learned.