Over the past couple of months I’ve delivered a series of three webinars on the impact of AI on higher education for the National Centre for Entrepreneurship in Education (NCEE). We started with where we are today and how AI is reshaping teaching and learning, before broadening from narrow applications of AI to the wider, medium-term impact on society. Here are the presentations for each.
Session 1: AI, teaching & learning, and the end of the entrepreneurial university?
We do not fully understand how AI will impact universities, the world of work, or society. Technology is evolving fast, and universities are reacting to change. Drawing on examples of ‘best practice’, and then explaining how some of these are already outdated, this seminar explores how universities can become more proactive and resilient, focusing on the impact of AI on teaching and learning. (See also our related paper).
Session 2: AI and research – what role for universities?
Our first session focused on the impact of AI here and now, and how it is already shaping teaching and learning. For our second session, we expand our time horizon into the near future, and explore how AI might shape research, and the potentially massive implications for universities.
Session 3: AI and society – five scenarios for universities
In session three, we look at the third major pillar of university activity: engagement with society, including regional development and business collaboration. We do this through five future scenarios, giving you a roadmap for how you might prepare your institution for the changes that lie ahead.
I have recorded a summary of these three sessions as a video. I’ll also be running a session on AI and higher education at this Entrepreneurial Leaders Day and this Development Day.
(Image credit: Zoya Yasmine / Better Images of AI / The Two Cultures / CC-BY 4.0)
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