This talk in Hebrew is an IBM Research – Haifa seminar presented on January 12, 2015 by Dr. Ya’akov (Kobi) Gal from Ben-Gurion University.
Education is increasingly mediated by technology, and is used by a wide array of learners from different age groups, socioeconomic backgrounds and cultures. The proliferation of educational software provides new opportunities for using computational methods to support students in their learning process and teachers and researchers in their understanding of how students learn. This talk will identify several computational challenges within this context and present some initial solutions that synthesize approaches from artificial intelligence, HCI and Machine Learning. Specifically, I will present plan recognition algorithms for making sense of students’ activities using open-ended and exploratory educational software; methods for visualizing these activities to teachers as well as other students; and tools for personalizing educational content to students by combining collaborative filtering with social choice.
Dr. Ya’akov (Kobi) Gal is a faculty member of the Department of Information Systems Engineering at the Ben-Gurion University of the Negev, and an associate of the School of Engineering and Applied Sciences at Harvard University.
He investigates representations and algorithms for making decisions in heterogeneous groups comprising both people and computational agents. He has published over 40 papers in highly refereed venues on topics ranging from artificial intelligence to the learning and cognitive sciences.
He is a recipient of the Wolf foundation’s 2013 Krill prize for young Israeli scientists, a Marie Curie International fellowship, and a three-time recipient of Harvard University’s outstanding teacher award.
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