Zoom link: us02web.zoom.us/j/82097963134?pwd=c0pIV0p2czhYUnlYUFpPN2RvRlk4Zz09

BIOGRAPHY
Dr Inge Molenaar, Director of the National Education Lab AI and professor Education and artificial Intelligence Radboud University
Inge Molenaar is the director of the National Education Lab AI (NOLAI) and professor Education and Artificial Intelligence at the Behavioural Science Institute at Radboud University in the Netherlands. She has over 20 years of experience in technology-enhanced learning, taking multiple roles from entrepreneur to academic.

Her research focuses on technology-empowered innovations to optimize human learning and teaching. The application of data, Learning Analytics and Artificial Intelligence in understanding how learning unfolds over time is central to her work. Artificial Intelligence offers a powerful way to measure, understand and design innovative learning scenarios. Dr Molenaar envisions Hybrid Human-AI Learning Technologies that augment human intelligence with artificial intelligence to empower learners and teachers in their quest to make education more efficient, effective and responsive.

In the National Education Lab AI (NOLAI), a collaboration between the Dutch government, schools, research and industry, we believe that a multistakeholder, interdisciplinary approach is essential to develop the next generation educational technologies and a shared understanding of responsible use of AI in education.

Dr Molenaar has received multiple grants among which an ERC Starting Grant to develop the first Hybrid Human-AI Regulation system to train young learners’ Self-regulated learning skills with AI and she is a Jacobs Foundation Fellow. she holds Master’s degrees in Cognitive Psychology and International Business studies and a PhD in Educational Sciences (University of Amsterdam).

ABSTRACT
In multiple scenarios, artificial intelligence (AI) could improve teaching and learning. This talk introduces the augmentation perspective and the concept of hybrid intelligence to frame our thinking about AI in education. Hybrid systems combining artificial and human intelligence hold great promise for training human skills. I will elaborate on Hybrid Human-AI learning technologies that augment human intelligence with artificial intelligence to empower learners and teachers in their quest to make education more efficient and effective.
I will position the concept of Hybrid Human-AI Regulation and conceptualize an example of a Hybrid Human-AI Regulation (HHAIR) regulation system to develop learners’ Self-Regulated Learning (SRL) skills within Adaptive Learning Technologies (ALTs). This example of HHAIR targets young learners (10-14 years) for whom SRL skills are critical in today’s society. HHAIR aims to gradually transfer regulation of learning from AI-regulation to self-regulation. Learners will increasingly regulate their own learning progressing through different degrees of hybrid regulation.
In addition, I will elaborate on the National Education Lab AI in which the co-creation of innovative use of AI in education with the involvement of different stakeholders (i.e. researchers, education professionals, entrepreneurs, and policymakers) is central.