EVENTS | Masterclass
How is AI transforming the role of pedagogical consultants?

The emergence of generative artificial intelligence (GAI) in higher education is not only reshaping teaching and learning practices; it is also fundamentally challenging the work of academic advisors (CPs). Yet this work is not limited to providing guidance; it encompasses needs analysis, program design, training, project management, monitoring trends, resource development, and support for the professional development of a faculty that is itself undergoing change (Proust-Androwkha et al., 2024, 2025). This master class proposes to examine the ongoing transformation through a central question: What becomes of such a multifaceted profession when the relationship to knowledge is redefined?
The portrait of the competencies, roles, and profiles of elementary school teachers in the Quebec context (Arguin, 2025; Proust-Androwkha et al., 2024, 2025) will serve as the anchor point for this discussion. This will be contrasted with the concept of the relationship to knowledge (Charlot, 1997; Meyer, 2024): in the era of AI, learning, knowledge, and the act of imparting knowledge are no longer articulated in the same way, which directly affects professionals whose expertise centers precisely on the conditions of learning.
A detour into the epistemology of instructional design (Englebert, in press) will then allow us to examine the very foundations of system design when part of the design work can be delegated, augmented, or challenged by machines. This line of thought aligns with recent research that encourages educational designers to redefine themselves not merely as content producers, but as architects of AI-augmented learning environments (Naffi and Montufar, 2025), and it fits within the broader framework of redefining the competency frameworks to be taught in the age of AI (Meyer et al., 2026).
The central theme will be to show that the transformation of the CP profession is taking place simultaneously on several levels, which must be distinguished in order to counter a technodeterministic narrative: what primary school teachers do (tasks and deliverables), how they do it (methods and approaches), with what they do it (tools and resources), and for whom they do it—that is, the student populations whose needs, characteristics, and relationship to digital technology are rapidly changing. Moving beyond the dichotomy between human and machine, the master class will advocate for a critical, sociotechnical, and emancipatory approach: in line with Albero (2010), who argues that the technical and the social define each other rather than one determining the other, AI will be considered as much an object of collective reflection as a tool. The issue is not whether AI will replace first-grade teachers, but rather understanding how it redefines the meaning, value, and purpose of their work.
LANGUAGE & INTERPRETATION: Presented in French with English interpretation
ORGANIZER: ACCP-CAID



