Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Off-task behavior in the cognitive tutor classroom: when students "game the system"
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fearnot!: an experiment in emergent narrative
Lecture Notes in Computer Science
Modeling and understanding students' off-task behavior in intelligent tutoring systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring Presence in Virtual Environments: A Presence Questionnaire
Presence: Teleoperators and Virtual Environments
The effects of empathetic virtual characters on presence in narrative-centered learning environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Engagement tracing: using response times to model student disengagement
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Serious Use of a Serious Game for Language Learning
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
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
Repairing Disengagement With Non-Invasive Interventions
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Modeling learning patterns of students with a tutoring system using Hidden Markov Models
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
A dynamic mixture model to detect student motivation and proficiency
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Detection and analysis of off-task gaming behavior in intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Individual differences in gameplay and learning: a narrative-centered learning perspective
Proceedings of the Fifth International Conference on the Foundations of Digital Games
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Integrating learning and engagement in narrative-centered learning environments
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Squeezing out gaming behavior in a dialog-based ITS
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Does the length of time off-task matter?
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Integrating learning, problem solving, and engagement in narrative-centered learning environments
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
WTF? detecting students who are conducting inquiry without thinking fastidiously
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
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Recent years have seen increasing interest in narrative-centered learning environments. However, the same qualities that make them engaging can also introduce seductive details that invite off-task behavior. This paper examines off-task behavior in the CRYSTAL ISLAND narrative-centered learning environment. Results from an empirical study examining the relationships between student test performance, individual differences, and off-task behavior are presented. The study found negative correlations between off-task behavior and test performance, as well as significant gender effects on the total amount of off-task behavior. Initial conclusions from a path analysis conducted on students' action sequences are also presented.