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
Variational Learning for Switching State-Space Models
Neural Computation
The Andes Physics Tutoring System: Lessons Learned
International Journal of Artificial Intelligence in Education
Inferring learning and attitudes from a Bayesian Network of log file data
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
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
Developing a generalizable detector of when students game the system
User Modeling and User-Adapted Interaction
Repairing Disengagement With Non-Invasive Interventions
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
An Efficient Student Model Based on Student Performance and Metadata
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Integrated introspective case-based reasoning for intelligent tutoring systems
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Affect-aware tutors: recognising and responding to student affect
International Journal of Learning Technology
Log file analysis for disengagement detection in e-Learning environments
User Modeling and User-Adapted Interaction
Off-Task Behavior in Narrative-Centered Learning Environments
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate?
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Modeling mental workload using EEG features for intelligent systems
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Modeling engagement dynamics in spelling learning
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
Detecting gaming the system in constraint-based tutors
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
A review of recent advances in learner and skill modeling in intelligent learning environments
User Modeling and User-Adapted Interaction
Detecting learning moment-by-moment
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
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
Visualization of student activity patterns within intelligent tutoring systems
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Toward a machine learning framework for understanding affective tutorial interaction
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
EEG estimates of engagement and cognitive workload predict math problem solving outcomes
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Cross-system validation of engagement prediction from log files
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains
International Journal of Artificial Intelligence in Education - Best of AIED 2011
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Unmotivated students do not reap the full rewards of using a computer-based intelligent tutoring system. Detection of improper behavior is thus an important component of an online student model. To meet this challenge, we present a dynamic mixture model based on Item Response Theory. This model, which simultaneously estimates a student's proficiency and changing motivation level, was tested with data of high school students using a geometry tutoring system. By accounting for student motivation, the dynamic mixture model can more accurately estimate proficiency and the probability of a correct response. The model's generality is an added benefit, making it applicable to many intelligent tutoring systems as well as other domains.