Leveling Up Education: Harnessing Generative AI for Game-Based Learning

Abstract

Generative AI has exploded in popularity over the past few years and is showing no signs of slowing down. There is skepticism among educators and institutions on the best ways to harness its power without ignoring ethical and equitable challenges that arise with its use. One area where there is emerging consensus is in building personalized learning solutions that can provide equitable access to a wide range of learners without compromising on ethical challenges. Simultaneously game-based learning has proven to be a viable paradigm to engage learners and the ability of games to be able to adapt to the player/learner provides significant opportunities to build equitable and accessible personalized learning solutions. In this talk, we will discuss ways in which game-based learning and generative AI can synergistically be combined to take advantage of each other’s capabilities and create educational interventions that can be offered at scale. By combining the interactive and motivational aspects of games with the adaptability and intelligence of generative AI, educators can unlock new opportunities to cater to individual learning needs and cultivate a more effective and enjoyable learning process. In this keynote, we will look at experimental software frameworks that can drive and level up education in multiple contexts and showcase some exemplars that demonstrate the promise that this integration provides.