Title
Applying Affective Tactics for a Better Learning
Abstract
This paper describes the Mediating Agent, an animated pedagogical agent inserted in a computational system for distance learning, which has the goal of motivating the student to learn as well as promoting a positive mood in the student, which is more appropriate to learning. In order to accomplish its function, the agent should recognize the student's emotions to respond appropriately. Thus, it catches some information from observing the student's behaviour in the interface of the educational system, which allows it to infer the student's affective states according to the cognitive approach of emotion. This information is stored in an affective model and it is used so that the agent may choose an affective pedagogical tactic to be applied.
Year
Venue
Keywords
2004
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
distance learning,education system
Field
DocType
Volume
Mood,Computer science,Cognitive psychology,Distance education,Educational systems,Artificial intelligence,Cognition,Affect (psychology),Multimedia,Machine learning
Conference
110
ISSN
Citations 
PageRank 
0922-6389
13
1.29
References 
Authors
5
4
Name
Order
Citations
PageRank
Patrícia Augustin Jaques110515.88
Rosa Maria Vicari223842.39
Sylvie Pesty311116.46
Jean-françois Bonneville4131.29