Agent-based Collaborative Affective E-learning System
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Ben ammar, M. (2007). Agent-based Collaborative Affective E-learning System. In T. Bastiaens & S. Carliner (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007 (pp. 637-646). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/26396.
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2007
Quebec City, Canada
October 15, 2007
Theo Bastiaens & Saul Carliner
More Information on ELEARN
Table of Contents
This paper explores Collaborative Virtual Environments (CVEs) for Affective Elearning as an alternative communication technology potentially allowing interlocutors to express themselves emotionally in an efficient and effective way. Potential applications for such CVEs systems are all areas where people cannot meet together physically but wish to discuss or collaborate on certain matters, for example in distance learning based in the affective communication. Moreover, we will explore how the agents can communicate emotion. To investigate how emotions can efficiently and effectively be visualized in CVEs, an animated virtual head (Emotional Embodied Conversational Agent) was designed to express the six universal emotions. In this research work, we propose emotional framework for an intelligent emotional system. This system is called EMASPEL (Emotional Multi-Agents System for Peer to peer E-Learning), based on a multi-agents architecture.
- Supporting E-Learning with Technologies for Electronic Documents
- Usage Analysis in Learning Systems
- e-Learning platforms for Semantic Web
- Learning Objects in Context
- Introducing a framework-oriented approach to develop an intelligent tutoring system
- Getting Ready For Mobile Learning—Adaptation Perspective
- Computational Intelligence in Web-Based Education: A Tutorial
- Artificial Agents in Distance Learning
- A Framework for Developing Adaptive Personalized eLearning
- Modalities of Using Learning Objects for Intelligent Agents
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