By Jeremy Roschelle Key Ideas: On August 9, 2023, the National Science Foundation funded EngageAI Institute invited a national group of 80 educational practitioners, researchers, developers and funders to a day-long forum held at the Computer History Museum in Mountain View, California. As the day began, educators voiced excitement, uncertainty, and risk about Artificial Intelligence … Read more
By Megan Humburg1, Ph.D., and Dalila Dragnić-Cindrić2, Ph.D. 1Indiana University; 2 Digital Promise Key ideas: Our teams at the EngageAI Institute are working to build a narrative-centered, AI-driven educational game where students can investigate scientific problems by exploring a game world, chatting with different characters, and gathering evidence to solve a mysterious illness outbreak. As … Read more
What emerged as unique about this event was the degree to which participants were willing to reflect on their own work and their own needs for change. In their stories, we saw hope for an approach to AI in education that would be rooted in partnerships and greater accountability to a shared educational vision.
In this post, Dr. Quinn Burke, Director of Computational Thinking Research at Digital Promise, talks with Dr. David Touretzky, Professor in the Computer Science department and the Center for the Neural Basis of Cognition at Carnegie Mellon University. Throughout their conversation, they discuss what education systems are currently in place within K-12 schools and the importance of teaching students about the disruptive technologies that are already present in their daily lives.
Engaging at roundtables, school leaders from across the United States were enthusiastic about exploring the potential of AI. The leaders expressed a preference for a definition of AI that was less about human-like reasoning and more about how AI could assist teachers and students in pursuing educational goals.
Josh Weisgrau, Digital Promise’s Chief Learning Officer for Experience Design, chats with Krista Glazewski, Department Chair and Professor of Instructional Systems Technology at University of Indiana, and Corey Brady, Assistant Professor of the Learning Sciences at Vanderbilt University, on connections between the potential for applications of AI in K-12 education that might be deliberately designed to support learner variability and equitable outcomes for learners.