Paper Info
Title
Social Agents to Improve Collaboration on an Educational Portal
Abstract
Cooperative learning is changing the learning environments design. Intelligent Tutoring Systems, Multi-agent Systems, Affective Computing and Virtual Characters, are techniques and resources to improve the individual and personalized learning. In this research direction, this paper presents a Socio- Affective Agent whose reasoning is based on individual aspects of the student, as affective states, personality and acceptance, and group aspects, as cohesion. This socio-affective agent is being integrated in the AMPLIA environment, an Intelligent Probabilistic Multi-agent Environment to support the diagnostic reasoning development and the diagnostic hypotheses modeling of domains with complex and uncertain knowledge, like medical area. In order to provide semantic interoperability between the environment's agents we are using an OWL (Web Ontology Language).
Year
DOI
Venue
2006
10.1109/ICALT.2006.291
Kerkrade
Keywords
Field
DocType
diagnostic reasoning development,diagnostic hypothesis,cooperative learning,amplia environment,educational portal,social agents,personalized learning,affective computing,intelligent probabilistic multi-agent environment,improve collaboration,affective agent,intelligent tutoring systems,multi-agent systems,multiagent systems,multi agent systems,computer science,multi agent system,owl,intelligent agent,internet,groupware,semantic interoperability,web ontology language,intelligent systems,collaboration
Intelligent agent,Intelligent decision support system,Computer science,Knowledge management,Semantic interoperability,Multi-agent system,Personalized learning,Affective computing,Cooperative learning,Multimedia,Web Ontology Language
Conference
ISBN
Citations 
PageRank 
0-7695-2632-2
5
0.49
References 
Authors
6
3
Name
Order
Citations
PageRank
Elisa Boff1205.46
Elder Rizzon Santos2203.57
Rosa Maria Vicari323842.39