Modeling Students' Emotions from Cognitive Appraisal in Educational Games
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Using a Wizard of Oz study to inform the design of SenToy
DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
Wizard of Oz Support throughout an Iterative Design Process
IEEE Pervasive Computing
Towards Knowledge-Based Affective Interaction: Situational Interpretation of Affect
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Towards Emotionally-Intelligent Pedagogical Agents
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Viewing Student Affect and Learning through Classroom Observation and Physical Sensors
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
Data-Driven refinement of a probabilistic model of user affect
UM'05 Proceedings of the 10th international conference on User Modeling
Using learner focus of attention to detect learner motivation factors
UM'05 Proceedings of the 10th international conference on User Modeling
A probabilistic model of affective behavior for intelligent tutoring systems
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
A semi-open learning environment for virtual laboratories
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Review: Student modeling approaches: A literature review for the last decade
Expert Systems with Applications: An International Journal
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We are developing an affective model for intelligent tutoring systems; thus, the tutor considers the affective state as well as the knowledge state of the student to give instruction to students. An important component of the affective model is the affective student model. This last one is rooted on the OCC cognitive model of emotions and the five-factor model, and it is represented as a dynamic Bayesian network. The personality traits, goals and knowledge state are considered to establish the student affect. The affective model has been integrated to an intelligent learning environment for learning mobile robotics. We conducted an initial evaluation of the affective student model with a group of 20 under graduate and graduate students to evaluate the affective student model. Results are encouraging since they show a high agreement between the affective state established by the affective student model and the affective state reported by the students.