This track investigates the use of generative artificial intelligence to enhance learning, teaching, and educational content creation. Topics include large language models, generative tutors, conversational learning systems, automated feedback, question generation, and personalised learning resources. Contributions may examine prompting strategies, retrieval-augmented generation, model adaptation, and pedagogical alignment. The track also welcomes studies of creativity, assessment, academic integrity, and the changing roles of learners and educators. Research should consider both the educational potential and the limitations of generative technologies.

Focus: Pedagogically meaningful applications of generative AI that support learning, teaching, feedback, and content creation. Priority is given to approaches supported by sound design principles and evidence of educational effectiveness.