Affective computing
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Modeling Students' Emotions from Cognitive Appraisal in Educational Games
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Knowledge level modelling: concepts and terminology
The Knowledge Engineering Review
e-Learning Issues under an Affective Perspective
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Supporting Learner's Needs with an Ontology-Based Bayesian Network
ICALT '09 Proceedings of the 2009 Ninth IEEE International Conference on Advanced Learning Technologies
An advanced mental state transition network and psychological experiments
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Hi-index | 0.00 |
This paper presents a method which is based on an Ontological Approach in combination with the Bayesian Network (BN) model in order to elicit student's emotion during the learning process. The produced Ontology serves as a basis for the formal representation of emotions and it is stored in the Learner Affective Model (LAM). The use of BNs contributes to the identification of student's affective state and deals with affective information (emotions, personality) which involves uncertainty. The proposed method is exploited by an Affective Module of a Web-Based Adaptive Educational System, which is called MENTOR, to support personalized distance learning.