Affective computing
A cognitive approach to affective user modeling
Affective interactions
Integrating models of personality and emotions into lifelike characters
Affective interactions
User Modeling and User-Adapted Interaction
Modeling Students' Emotions from Cognitive Appraisal in Educational Games
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Ontological Support for Web Courseware Authoring
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
An advanced mental state transition network and psychological experiments
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
An ontological approach to infer student's emotions
ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education
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The aim of this paper is to present an Affective Educational Module for distance learning which is called MENTOR. MENTOR constitutes of three main components, the Emotional Component, the Teacher Component and the Visualization Component and its main purpose is to motivate appropriately the student in order to accomplish his learning goals. The basic concern of MENTOR is to retain the student's emotional state positive during the learning process. To achieve this, it recognizes the emotions of the students and takes them under consideration to provide them with the suitable learning strategy. This kind of strategy is based both on the cognitive abilities and the affective preferences of the student and is stored in the student's model. The student model supplies the educational system with necessary information with the aim to adapt itself successfully to the student's needs.