성균관대학교 인터랙션사이언스학과 / Sungkyunkwan University Interaction Science
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Seminar

성균관대학교 인터랙션사이언스학과 10차 브라운백
주제 SimStudent: A Pedagogical Machine-Learning Agent and its App
기간 2010-09-08 ~ 2010-09-08 (오전11:00 ~ 12:30)
장소 90421 International Hall, SKKU, Seoul
참여자 Speaker: Dr. Noboru Matusda, Carnegie Mellon University
Language: English
요약
Abstract: 
SimStudent is a machine-learning agent that inductively learns cognitive skills from examples. The underlying learning technique is called programming by demonstration in the form of inductive logic programming. SimStudent is also capable of learning cognitive skills by tutored-problem solving where a tutor interactively provides feedback and hint when SimStudent is solving problems. In this talk, I'll present three major applications of SimStudent -- intelligent authoring, computational model of learning, and teachable agent for learning by teaching. In the context of intelligent authoring, SimStudent is used as an automated cognitive modeler to generate a cognitive model (i.e., a set of problem-solving skills) by demonstration. Such cognitive model is then used as a domain expert model for a Cognitive Tutor. As for the computational model of learning, we use SimStudent as a crash test dummy by controlling various learning parameters to see how such manipulation affect learning outcome. For the teachable agent project, we use SimStudent as a synthetic peer learner so that (human) students learn by teaching SimStudent