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The COVID-19 pandemic and the resulting shift to online learning exposed inequities and deficiencies in the educational system. AI technologies can and should play a constructive role to address these problems and not certainly not make them worse. In this webinar the presenters will discuss how AI technologies can lead to improved and more equitable learning experiences. Issues to be discussed include ensuring broad and equitable access to AI technologies, and how to promote collaboration and community among learners who find themselves isolated and separated from teachers, peers, and learning resources.
W. Lewis Johnson, Ph.D.
President and CEO, Alelo Inc.
Dr. Johnson is an internationally recognized expert in AI education. For his work on the first Alelo immersive game, Tactical Iraqi, he won DARPA’s Significant Technical Achievement Award. He has been a past President of the International AI in Education Society and was co-winner of the 2017 Autonomous Agents Influential Paper Award for his work in the field of pedagogical agents. He has been invited to speak at many international conferences such as the International Conference on Intelligent Tutoring Systems, and presented a Distinguished Lecture at the National Science Foundation.
James Lester, Ph.D.
Director of the Center for Educational Informatics and Distinguished Professor, North Carolina State University
His research centers on adaptive learning technologies that utilize AI to create learning experiences that are designed to be both highly effective and highly engaging. Over the past decade, his work has focused on intelligent game-based learning environments, computational models of narrative, affective computing, and natural language tutorial dialogue. The adaptive learning environments he and his colleagues develop have been used by thousands of students in K-12 classrooms throughout the US. He is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).
Jack Mostow, Ph.D.
Emeritus Research Professor of Robotics, Machine Learning, Language Technologies, and Human-Computer Interaction at Carnegie Mellon University
Jack Mostow leads the RoboTutor team, a $1M Finalist in the $15M Global Learning XPRIZE competition to develop an open-source tablet app that teaches basic literacy and numeracy to children in developing countries. He previously founded Project LISTEN to develop an automated Reading Tutor that listens to children read aloud. It won AAAI94’s Outstanding Paper Award, a U.S. patent, inclusion in NSF’s Nifty Fifty, and the Allen Newell Medal of Research Excellence. Prof. Mostow earned his A.B. cum laude in Applied Mathematics from Harvard University and his Ph.D. in Computer Science from Carnegie Mellon University.
Professor of Language Technologies and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University
Her research focuses on understanding the social and pragmatic nature of conversation, and using this understanding to build computational systems that can improve the efficacy of conversation between people, and between people and computers. She serves as Past President and Inaugural Fellow of the International Society of the Learning Sciences, Senior member of IEEE, Founding Chair of the International Alliance to Advance Learning in the Digital Era, Executive Editor of the International Journal of Computer-Supported Collaborative Learning, and Associate Editor of the IEEE Transactions on Learning Technologies.