Title :
Predicting the Learner´s Emotional Reaction towards the Tutor´s Intervention
Author :
Chaffar, Soumaya ; Cepeda, Gerardo ; Frasson, Claude
Author_Institution :
Univ. de Montreal, Montreal
Abstract :
The tutor tries, by using feedbacks, to keep the learner´s attention and to increase his motivation and then his performance. However, the effectiveness of the tutor´s feedbacks on the learner varies from one learner to another. It depends essentially on the learner´s traits and it is reflected in the learner´s emotional reaction. Consequently, it is important to detect the learner´s emotional reaction following the tutor´s intervention in order to personalize the feedback type. Our proposal consists of a methodology, based on machine learning technique, able to predict the learner´s emotional reaction starting from the analysis of descriptive variables of the learner´s current situation, such as: personality, motivation and tutor´s feedback type.
Keywords :
feedback; learning (artificial intelligence); psychology; feedbacks; learner emotional reaction; machine learning technique; tutor intervention; Acoustic sensors; Biomedical monitoring; Computer aided instruction; Computer science; Emotion recognition; Feedback; Humans; Machine learning; Machine learning algorithms; Probability distribution;
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
DOI :
10.1109/ICALT.2007.206