Despite sustained investment in educational technologies, higher education (HE) has not yet seen consistent improvements in learning outcomes, with HE institutions often adding more technology rather than rethinking teaching and assessment practices in use.
As AI tools become embedded in online learning, feedback, and assessment, questions arise about the richness of the student experience and the impact on student learning and academic standards.
This seminar draws on emerging research and explores the policy implications of AI in teaching and assessment, situating it within broader pressures on higher education and examining how to harness its potential while safeguarding learning outcomes and qualification integrity.
Register for this event
All are welcome to attend this event, registration will open in due course.