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Overview
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.
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Table of Contents
Sect. I Methodologies and Techniques for Developing Agent-Based Tutoring Systems
Ch. I Overview of Agent Modelling Helder Coelho Coelho, Helder 1
Ch. II Building IntelIigent Learning Environments Using Intelligent Learning Objects Ricardo Azambuja Silveira Silveira, Ricardo Azambuja Julia Marques Carvalho da Silva Silva, Julia Marques Carvalho da 19
Ch. III Design and Evaluation of Animated Pedagogical Agents Marcia Cristina Moraes Moraes, Marcia Cristina Milene Silveira Silveira, Milene 43
Ch. IV Maga Vitta: Conversational Ecological Agent in an Interactive Collective Construction Environment for Basic Education Margarete Axt Axt, Margarete Magali Teresinha Longhi Longhi, Magali Teresinha Paloma Dias Silveira Silveira, Paloma Dias Lucas Nunes Guimaraes Guimaraes, Lucas Nunes 73
Sect. II Cognitive and Affective Student Modeling in Intelligent Learning Environments
Ch. V Using Bayesian Networks for Student Modeling Chao-Lin Liu Liu, Chao-Lin 97
Ch. VI Cognitive Models Applied to Built Intelligent Educational Applications Lucia Maria Martins Giraffa Giraffa, Lucia Maria Martins Andre Luis Alice Raabe Raabe, Andre Luis Alice 114
Ch. VII Infering Emotions and Applying Affective Tactics for a Better Learning Patricia Augustin Jaques Jaques, Patricia Augustin Rosa Maria Viccari Viccari, Rosa Maria 135
Ch. VIII InteliWeb: The E-Learning System that Recognizes Aspects of Self-Efficacy Francine Bica Bica, Francine Regina Verdin Verdin, Regina 156
Ch. IX Towards a Model that Considers the Student's Affective Dimensions in Intelligent Learning Environments Magda Bercht Bercht, Magda 178
Ch. X Social and Affective Agents to Motivate Collaboration on Agent-BasedIntelligent Tutoring Systems Elisa Boff Boff, Elisa Cecilia Dias Flores Flores, Cecilia Dias 201
Sect. III Agent-Based Tutoring Systems
Ch. XI Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture Ig Bittencourt Bittencourt, Ig Evandro de Barros Costa Costa, Evandro de Barros Baldoino Fonseca dos Santos Neto Neto, Baldoino Fonseca dos Santos Joao Guilherme Maia de Menezes de Menezes, Joao Guilherme Maia Jairo Simao Santana Melo Melo, Jairo Simao Santana Edilson Ferneda Ferneda, Edilson Ana Paula Bernardi da Silva Silva, Ana Paula Bernardi da Lourdes Mattos Brasil Brasil, Lourdes Mattos 228
Ch. XII Pedagogical Negotiation and Solidarity Assimilation Groups in Action: The Combined Efforts of E-M@T and Leibniz to Aid Calculus Students Joao Carlos Gluz Gluz, Joao Carlos Tania Cabral Cabral, Tania Paulo Baggio Baggio, Paulo Paulo Livi Livi, Paulo Rafael Mallmann Mallmann, Rafael 260
Ch. XIII Intelligent Tutoring Systems for Distributed Learning Mohamed Ally Ally, Mohamed 292
Ch. XIV An Architecture for Developing Multiagent Educational Applications for the Web Tasos Triantis Triantis, Tasos Panayiotis Pintelas Pintelas, Panayiotis 307
Compilation of References 324
About the Contributors 350
Index 355