Advanced Learning Technologies, IEEE International Conference on (2003)
July 9, 2003 to July 11, 2003
Abdolhossein Sarrafzadeh , Massey University
Hamid Gholam Hosseini , Auckland University of Technology
Chao Fan , Massey University
Scott P. Overmyer , Massey University
Intelligent tutoring systems (ITS) provide individualized instruction. They offer many advantages over the traditional classroom scenario: they are always available, non-judgmental and provide tailored feedback resulting in increased and effective learning. However, they are still not as effective as one-on-one human tutoring. The next generation of intelligent tutors is expected to be able to take into account the cognitive and emotional state of students. This paper presents a proposed contribution of affect to student modeling, and reports on the progress made in the development of a facial expression analysis component for intelligent tutoring systems.
C. Fan, H. G. Hosseini, S. P. Overmyer and A. Sarrafzadeh, "Facial Expression Analysis for Estimating Learner?s Emotional State in Intelligent Tutoring Systems," Advanced Learning Technologies, IEEE International Conference on(ICALT), Athens, Greece, 2003, pp. 336.