Use of Unsupervised Clustering to Characterize Learner Behaviors and Affective States while Using an Intelligent Tutoring System

• Main Authors: Rodrigo, Ma. Mercedes T, Anglo, Elizabeth A, Sugay, Jessica, Baker, Ryan S
• Format: text
• Published: Archīum Ateneo 2008
• Subjects: Affect; Aplusix; learner modeling; interaction logs; clustering; Computer Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/110; http://penoy.admu.edu.ph/~didith/2008UnsupervisedClustering.pdf
• Institution: Ateneo De Manila University

This paper presents results from a preliminary analysis of interaction and human observation data gathered from students using an Aplusix, an intelligent tutoring system for algebra. Towards the development of automatic detectors of behavior and affect, this study tried to determine whether it was p...