Rethinking teaching approaches to integrating AI in teaching and learning

The rapid evolution of Generative Artificial Intelligence (GenAI) presents
both transformative opportunities and complex challenges within teaching
and learning in higher education, with opportunities that have led to the
proliferation of AI frameworks to support educators in integrating GenAI
tools into teaching and learning, and challenges necessitating the upskilling of
educators to effectively integrate GenAI at a module-level. This conceptual
paper addresses identified challenges associated with integrating AI literacy
into higher education curricula, particularly within non-computer science
disciplines and at the module level. The paper proposes a five-step GenAI
Curriculum Alignment Model (AI-CAM) that enables educators in non-
computer science disciplines to systematically integrate AI literacy into
curriculum design at the module level, drawing on the principles of
constructive alignment. An example from the BSc Business Management
Data Analysis module is presented to illustrate how the five-step AI-CAM
was implemented at the module level. The research question is: How can
educators integrate AI literacy at the module level to enhance students’ AI
skills? This paper contributes to the growing discourse on AI in education by
offering practical guidance to module organisers at the module level.