BEYOND AUTOMATION:

This workshop aims to create a rigorous space for examining how artificial intelligence is reshaping education at multiple levels, from classroom practice to the production of knowledge itself. Through a call for original research papers and keynote presentations by academic experts, the workshop will examine both empirical findings and critical perspectives that engage with the opportunities and tensions introduced by AI.

Contributors will be invited to explore themes such as the transformation of assessment in the context of generative models, the redefinition of academic integrity, the role of AI as a cognitive partner in learning processes, and the risks of over-reliance on automated systems. Particular attention is encouraged toward work that interrogates underlying assumptions, for example how AI systems encode biases, how they mediate access to knowledge, or how they may reshape disciplinary boundaries.

This workshop also wants to bridge practice and theory. Submissions may include classroom-based interventions, institutional strategies, or conceptual frameworks that help educators navigate uncertainty. Work grounded in specific contexts, especially from underrepresented regions or educational systems, is especially valuable, given that much of the current discourse is dominated by perspectives from a limited set of institutions.

The goal is to move the conversation from reactive adoption toward intentional design. By bringing together diverse research contributions, the workshop will map emerging directions, identify unresolved challenges, and contribute to a more nuanced understanding of what it means to teach and learn in a world where intelligence is no longer exclusively human.