&inCSL

Date

26/01/2022 5:00 pm

Andrew M. Olney

University of Memphis

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. His primary research interests are in natural language interfaces. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems.

Automated Content Creation for Intelligent Tutoring Systems

Intelligent tutoring systems (ITS) are very effective but require a great deal of expertise and time to produce, making them expensive and difficult to scale. Dialogue-based ITS are particularly tractable for automated authoring because their textual representations allow for a range of NLP approaches to be applied. This talk describes four approaches to automated authoring of dialogue-based ITS ranging from knowledge poor NLP to knowledge rich logical and deep learning approaches. Errors in automated authoring may be checked by experts or crowdsourced to students as a learning task.