Since the introduction of ChatGPT in 2022, the discourse on AI in higher education has evolved from the focus and concerns on its impact on academic integrity to embracing AI in teaching and learning towards enhancing students’ AI literacy. With many AI literacy frameworks, such as UNESCO AI competency and AI in teaching and learning frameworks developed to support educators in adopting AI, there is still a gap in practically applying the framework in teaching. This presents an opportunity to explore developing a holistic AI in teaching approaches that enable educators to incorporate AI in their teaching and provide practical examples to do this. This paper aims to address this gap twofold: first, it presents the five-step approach to integrating AI in teaching, and second, it demonstrates through a case study how to integrate AI in teaching using the AI in teaching and learning framework and constructive alignment.
Schofield et al. (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: