Knowledge Sharing AI

Agentic AI in higher education: Transforming interactive learning while navigating implementation challenges

Dr Iftakar Haji explores three key dimensions of Agentic AI in education: pedagogical role, level of autonomy, and learner interaction. He also examines the challenges of implementation, including learner dependency, accountability, data privacy, bias and institutional readiness, highlighting the importance of responsible, pedagogy-led adoption.

19th October 2026

Dynamic Conversations - AI and learning experiences

Is a learning experience not authentic if it does not embrace AI?

The use of AI in appropriate ways in Higher Education has dominated the airwaves in recent months with some calling for it to be banned and others calling for it be harnessed within the learning experience. Prior to reaching higher education, pupils are already interacting with AI in the learning experience  with government announcing £2 million of funding to expand the use of AI in schools and reduce teacher workloads.

Unsurprisingly the debate has generated more questions than answers. Is AI changing the skills that employers will be looking for in graduates and if so, do we know how? Is AI a radical game changer for delivering authentic learning in HE and are there unique implications for Business Schools? Are subject benchmarks and QAA level descriptors outdated for an AI enabled future? What are the implications, if any, for the policy environment governing learning and teaching in HE?

View our collection of responses below...