Argentine Symposium on Artificial Intelligence
Intelligent Tutoring Systems: New challenges and Directions
Dr. Cristina ConatiUniversity of British Columbia, Canada
Abstract
Can we devise educational systems that provide individualized instruction tailored to the needs of the individual learners, as many good teachers do? Intelligent Tutoring Systems is the interdisciplinary field that investigates this question by integrating research in Artificial Intelligence, Cognitive Science and Education. Successful intelligent tutoring systems have been deployed to support traditional problem solving activities by tailoring the instruction to the student's domain knowledge.
In this talk, I will present a variety of projects that illustrate our efforts to extend the scope of intelligent tutors to both support novel forms of pedagogical interactions (e.g., example-based and exploration-based learning) and adapt to student's traits beyond knowledge (e.g., student's meta-cognitive abilities and affective states). I will discuss the challenges of this research, the results that we have achieved so far and future opportunities.
Short Bio
Cristina Conati is an Associate Professor of Computer Science at the University of British Columbia. She received her M.Sc. degree in Computer Science from the University of Milan, Italy (1988), and an M.Sc. (1996) and Ph.D. (1999) in Artificial Intelligence from the University of Pittsburgh. Dr. Conati's areas of interest include Adaptive Interfaces, Intelligent Tutoring Systems, UserModeling, and Affective Computing. She published over 50 strictly refereed articles, and received best paper awards from the international conferences on User Modeling, AI in Education, Intelligent User Interfaces, and the Journal of User Modeling and User-Adapted Interaction.