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Dr Mutlu Cukurova
Professor of Learning and Artificial Intelligence
Director, UCLAIT Lab
University College London
About...
Mutlu Cukurova is a Professor of Learning and Artificial Intelligence at University College London. Prof. Cukurova investigates the potential of AI to understand and support human learning with a particular interest in “learning how to learn” and solving complex problems collaboratively. His work emphasises human-AI complementarity, aiming to address the pressing socio-educational challenge of preparing people for a future with AI systems that will require a great deal more than the routine cognitive skills currently prized by many education systems and traditional approaches to automation. Prof. Cukurova is the Director of the UCLAIT lab at UCL, works with UNESCO's Unit for Technology and AI in Education, and advises the International Atomic Energy Agency and European Commission on AI in Education. He was the programme chair of the International Conference of AI in Education in 2020 and CSEdu Conference in 2022, currently serving as the editor of the British Journal of Educational Technology and an Associate Editor of the International Journal of Child-Computer Interaction.
Keynote
AI & Education: Beyond the Hype to Real-world Adoption
This talk delves into the complex interplay between learning analytics and artificial intelligence (AI) in education, focusing on a vision for hybrid intelligence that enhances human cognition rather than replacing it. Moving beyond the simplistic use of AI as tools for automation of basic knowledge acquisition pedagogical tasks, the talk emphasizes three unique conceptualizations of AI in education: externalization of human cognition, internalization to shape mental models, and extension of human capabilities through tightly integrated human-AI systems. By examining these conceptualizations, the discussion highlights both opportunities and challenges in leveraging AI to complement human learning particularly for 21st century skills development, emphasizing the importance of maintaining human agency and ethical considerations in AI design. Examples from current educational research and practice illustrate the value and potential pitfalls of different AI applications, particularly regarding their impact on human competence development and the risks of over-relying on automated solutions. The talk concludes by advocating for a broader approach to AI in education—one that includes educating individuals about AI, fostering human-AI complementarity, and transforming educational systems to ensure they remain relevant in an AI-driven world. Attendees will gain insight into how AI can be designed and implemented to augment human learning experiences for skill development and how to foster an education system that emphasizes ethical, effective, and human-centred AI integration.
Masterclass
Data as the Key Affordance of Technology to Enhance Teaching and Learning
In this masterclass, we will discuss the role of data as the key affordance of technology in enhancing the learning experiences. We will critically examine both the opportunities and limitations of using data from technology to improve learning, encouraging participants to engage in a thoughtful debate on this subject. Additionally, we will introduce simple AI models for regression and classification tasks, focusing on how these models can be used to process educational data for meaningful insights. By the end of the lecture, you will have gained practical skills in using data to make predictions through various AI techniques, which are essential tools for analysing and interpreting educational data.
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