AI in Education with Ryan Baker

Sean and Punya welcome special guests Dr. Scotty Craig (ASU) and Dr. Ryan Baker (Penn) to discuss rapidly evolving field of Artificial Intelligence (AI), machine learning, and what implications it may have for education Guest Information Dr. Scotty Craig Is an associate professor of human systems engineering within The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University. Dr. Craig is a learning engineer and has investigated research areas of emotion and learning, multimedia learning, and intelligent tutoring systems (ITS)in both laboratory and applied classroom settings. Scotty is also a fellow member of our own AI in Education Learning Futures Collaborative here at ASU. Dr. Ryan Baker Is a professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics. Dr. Baker researches how students use and learn from educational games, intelligent tutors, and other kinds of educational software. Drawing on the fields of educational data mining, learning analytics, and human–computer interaction, he develops methods for mining the data that come out of the interactions between students and educational software. He then uses this information to improve our understanding of how students respond to educational software, and how these responses influence their learning. Topics discussed: UNESCO publications on Artificial Intelligence in education Maturity of AI in Education from both a technical perspective and practical / pedagogical perspective Parsing student behaviors in moocs and other environments, including one that caught our eye, what Dr. Baker called “wtf” behaviors Calls for future developments of AI to be grounded in a human-centered approach Algorithmic bias, challenges, pitfalls and opportunities How does a system like ChatGPT from Open AI impact the possible future of online learning and behavior? Big picture idea, What are we gaining and losing in seeing ourselves as essentially streams of data? Resources and Links: -Chiou, E. K., & Lee, J. D. (2021). Trusting automation: Designing for responsivity and resilience. Human factors, 0018720821100999 -Penn Center for Learning Analytics -Algorithmic Bias in Education -U Penn Learning Analytics (Online) Master of Science in Education Degree Program MS in Human Systems Engineering with a Concentration in Intelligent Systems at ASU The Intelligent Systems Concentration provides students with a Master of Science in Human Systems Engineering that prepares them with the skills needed to improve our world by creating innovative technology-based systems that integrate into human environments. Our faculty provide a guided experience with training in theory, development, and evaluation. For more information, check out our website or email Dr. Craig Link: https://poly.engineering.asu.edu/hse/ms/ The Learning Futures Podcast is jointly produced by Enterprise Technology and the Mary Lou Fulton Teachers College at Arizona State University.