Agent-Based Tutoring Systems by Cognitive and Affective Modeling

by Viccari, Rosa Maria; Jaques, Patricia Augustin; Verdin, Regina

• ISBN13: 9781599047683
• ISBN10: 1599047683
• eBook ISBN(s): 9781599047706
• Format: Hardcover
• Copyright: 2008-04-15
• Publisher: Igi Global
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Summary

In recent years, we have observed that many educational systems, especially intelligent tutoring systems, are being implemented according to an agent paradigm. Therefore, researchers in education believe that the educational computing environments would be more pedagogically effective if they had mechanisms to show and recognize the student's emotions. Agent-based Tutoring Systems by Cognitive and Affective Modeling intends to present a modern view of intelligent tutoring, focusing mainly on the conception of these systems according to a multi-agent approach and on the affective and cognitive modeling of the student in this kind of educational environment. Providing researchers, academians, educators, and practitioners with a critical mass of research on the theory, practice, development, and implementation of tools for knowledge representation and agent-based architectures, this Premier Reference Source is a must-have addition to every library collection.

Table of Contents

Methodologies and Techniques for Developing Agent-Based Tutoring Systems
Overview of Agent Modelling	p. 1
Building IntelIigent Learning Environments Using Intelligent Learning Objects	p. 19
Design and Evaluation of Animated Pedagogical Agents	p. 43
Maga Vitta: Conversational Ecological Agent in an Interactive Collective Construction Environment for Basic Education	p. 73
Cognitive and Affective Student Modeling in Intelligent Learning Environments
Using Bayesian Networks for Student Modeling	p. 97
Cognitive Models Applied to Built Intelligent Educational Applications	p. 114
Infering Emotions and Applying Affective Tactics for a Better Learning	p. 135
InteliWeb: The E-Learning System that Recognizes Aspects of Self-Efficacy	p. 156
Towards a Model that Considers the Student's Affective Dimensions in Intelligent Learning Environments	p. 178
Social and Affective Agents to Motivate Collaboration on Agent-Based Intelligent Tutoring Systems	p. 201
Agent-Based Tutoring Systems
Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture	p. 228
Pedagogical Negotiation and Solidarity Assimilation Groups in Action: The Combined Efforts of E-M@T and Leibniz to Aid Calculus Students	p. 260
Intelligent Tutoring Systems for Distributed Learning	p. 292
An Architecture for Developing Multiagent Educational Applications for the Web	p. 307
Compilation of References	p. 324
About the Contributors	p. 350
Index	p. 355
Table of Contents provided by Blackwell. All Rights Reserved.