Can affect be detected from intelligent tutoring system interaction data?: a preliminary study

Authors:
Elizabeth A. Anglo;Ma. Mercedes T. Rodrigo
Affiliations:
Department of Information Systems and Computer Sceience, Ateneo de Manila University, Quezon City, Philippines;Department of Information Systems and Computer Sceience, Ateneo de Manila University, Quezon City, Philippines
Venue:
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Year:
2010

Citing 4
Cited 0

YALE: rapid prototyping for complex data mining tasks

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game

ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Affect and Usage Choices in Simulation Problem-Solving Environments

Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Detection and analysis of off-task gaming behavior in intelligent tutoring systems

ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data While the resulting models attained detection accuracies comparable with other studies, their reliabilities were not ideal One model however shows that interaction logs may have a potential as a detector for confusion.