Keynote Speakers

Pattie Maes. MIT (USA)

Keynote: Using Generative AI to support more engaging learning experiences

Generative AI (GenAI) presents us with an opportunity to personalize AI experiences and make them more engaging. Maes will present several prototypes and experiences that her research group has created that use GenAI in novel ways to create personalized, interactive and engaging learning experiences in the domains of language learning, critical thinking, public speaking, history and self development. She will review the results of qualitative and quantitative studies of these systems and their impact on the learning experience and outcomes.

About Pattie Maes

Pattie Maes is the Germeshausen Professor of Media Arts and Sciences at the MIT Media Lab. She runs the Fluid Interfaces research group, which does research at the intersection of Human Computer Interaction and Artificial Intelligence with a focus on applications in health, wellbeing and learning. She is particularly interested in the topic of cognitive enhancement, or how wearable, immersive and brain-computer interface systems can actively assist people with issues such as memory, attention, learning, decision making, communication, wellbeing, and sleep.
Maes is the editor of four books, and is an editorial board member and reviewer for numerous professional journals and conferences. She has received several awards: Netguru selected her for "Hidden Heroes: the people who shaped technology (2022), Time Magazine has included several of her designs in its annual list of inventions of the year; AAAI gave her the "classic paper 2012" prize, awarded to the most influential AI paper of the year, Fast Company named her one of 50 most influential designers (2011); Newsweek picked her as one of the "100 Americans to watch for" in the year 2000; TIME Digital selected her as a member of the “Cyber Elite,” the top 50 technological pioneers of the high-tech world; the World Economic Forum honored her with the title "Global Leader for Tomorrow"; Ars Electronica awarded her the 1995 World Wide Web category prize; and in 2000 she was recognized with the "Lifetime Achievement Award" by the Massachusetts Interactive Media Council.

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Manu Kapur. ETH Zurich (Switzerland)

Keynote: When and How Flipped Learning is Effective

In my talk, I will argue that the current levels of enthusiasm for flipped learning are not commensurate with and far exceed the vast variability of scientific evidence in its favor. I will share findings from an analysis of 46 meta-analyses as well as a meta-analysis of 173 studies specifically coding the nature of the flipped implementation for active versus passive learning activities. Findings suggested that most flipped learning interventions under delivered on the promise of active learning. I will then use the findings to propose a more specific model for flipping which I have developed with my colleagues—The 4 F Model: Fail, Flip, Fix, and Feed--whereby students are asked to first engage in generating solutions to novel problems even if they fail to generate the correct solutions, before receiving instruction. I will end by deriving implications of the 4F model and future research.

About Manu Kapur

Manu is currently the Director of the Singapore-ETH Centre, and a Professor of Learning Sciences and Higher Education at ETH Zurich, Switzerland. Before this, he worked in Singapore and Hong Kong, heading learning sciences labs and initiatives. Manu is widely known mainly for his work on learning from productive failure. For more information, visit www.manukapur.com

Website: www.manukapur.com