About

Generative AI has profound implications for learning and assessment. The act of “writing” takes on a new meaning, and the importance of learner self-regulation, meta-cognition and cognitive development for resilient higher education is undeniable. In meeting this paradigm shift in the role of written text in the context of the academy Universities and their Academic Staff (the professoriate) must adapt to new ways of approaching both undergraduate and research education, as well as their own research practice. What can be accelerated through the use of AI tools, and what does this mean for learning and research? To engage with this fundamental question the talk explores “why we learn, and why we research”. Through examining our motivation to learn, or conduct research, we can reconnect to the underlying values of education and explore how new pedagogies can sustain our love of learning.

Speaker

Arnold Pears, BSc(hons), PhD. Is a leading international scholar of computing and engineering education. He holds an honorary doctorate from the University of Eastern Finland and was awarded the SEFI Leonardo da Vinci Medal for outstanding and sustained contributions to Engineering Education of International significance. He is currently Professor of Engineering Education and the Head of the Department of Learning in Engineering Sciences at KTH Royal Institute of Technology. Internationally Professor Pears serves as 2025-2026 President of the IEEE Education Society, as an external advisory board member of AI development for Clarivate Analytics, and the Generation AI project at the University of Eastern Finland. Professor Pears has published extensively and his work is highly cited in the field.

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