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Andrew M. Olney presently serves as Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. Dr. Olney received a B.A. in Linguistics with Cognitive Science from University College London in 1998, an M.S. in Evolutionary and Adaptive Systems from the University of Sussex in 2001, and a Ph.D. in Computer Science from the University of Memphis in 2006. He is the former editor of the Journal of Educational Data Mining (2017-2022) and former Director/Associate Director of the Institute for Intelligent Systems at the University of Memphis (2006-2017), where he oversaw tenure track faculty, staff, and approximately 40 faculty affiliates. Dr. Olney has over 100 publications in the fields of artificial intelligence, education, and psychology, with a particular focus on using natural language processing to assess and enhance learning from text and learning through conversation. He has been an investigator on $18M in federal grants ($6M as PI) in these fields. His primary research interests are in natural language interfaces. Specific interests include language and knowledge acquisition (both human and AI) with applications in learning and performance support systems.

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15 Jul 2024 . Category . Proceedings of the 25th International Conference of Artificial Intelligence in Education (Additional Tracks, Vol 2) Comments

Olney, A. M., Chounta, I.-A., Liu, Z., Santos, O. C., & Bittencourt, I. I. (Eds.). (2024d). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky—25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part II (Vol. 2151). Springer. https://doi.org/10.1007/978-3-031-64312-5

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