Keynotes

About

David Krakauer is President and William H. Miller Professor of Complex Systems at the Santa Fe Institute. His research explores the evolution of intelligence and stupidity, examining how genetic, neural, linguistic, social and cultural systems support memory, communication and information processing.

Previously, he served as Founding Director of the Wisconsin Institute for Discovery, Co-Director of the Center for Complexity and Collective Computation, and Professor of Mathematical Genetics at the University of Wisconsin–Madison. In 2016, he was recognised by Entrepreneur magazine as one of the visionary leaders advancing global research and business. For more information: Visit David Krakauer's personal website.

Abstract

Hybrid Human-AI collaboration explored: striving for Human Agency

The talk explores how education can shape a responsible hybrid future in which humans and AI collaborate. Rather than allowing technology to drive educational change, educators, learners, researchers, developers, and policymakers should actively determine AI’s role. In three sections, hybrid Human-AI collaboration in education is shortly explored. First, a key distinction is made between general-purpose AI and educational AI, which should be deliberately designed around scientific knowledge of learning and teaching and developed in close collaboration with education.  Second, for learners, AI creates a new tension between performance and learning: good results can increasingly be achieved with little effort, while genuine learning still requires effort, self-regulation, and reflection. How can we equip learners to navigate this performance- learning paradox? Third, for teachers, the challenge is to design productive teacher–AI collaboration that balances automation with AI that complements and augments professional expertise. Ultimately, the talk argues for human agency: education must collectively design AI that strengthens learning, teaching, and human development.

About

Inge Molenaar is Full Professor of Education and Artificial Intelligence at Radboud University and Scientific Director of the National Education Lab AI. Her research focuses on the responsible use of artificial intelligence (AI) in education, with particular attention to human-AI collaboration, adaptive learning technologies, learning analytics, and self-regulated learning.

A central theme in her work is how humans and AI can complement and augment each other in educational settings. Rather than approaching AI primarily as a technology that replaces human tasks, her research examines how AI can strengthen the agency and capabilities of both learners and teachers. Her work on hybrid human-AI learning technologies investigates how control can be shared between humans and AI and how the informing and acting roles of AI can be designed to support effective teaching and learning. This research connects technological development with educational theory and empirical research on learning and teaching.

As Scientific Director of NOLAI, Molenaar leads a national research and innovation programme that brings together schools, researchers and technology developers to co-create responsible AI applications for primary and secondary education. NOLAI combines scientific research with the development and implementation of AI technologies in authentic educational settings. The programme aims to better understand how AI changes pedagogical and instructional practices and how it can be designed in ways that maintain and strengthen human autonomy.