Agent-Based Tutoring Systems by Cognitive and Affective Modeling

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Viccari, Rosa Maria
IGI Global, May 31, 2008 - Education - 392 pages
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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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Contents

Preface
xiii
Acknowledgment
xxxiv
Methodologies and Techniques for Developing AgentBased Tutoring Systems
xxxvi
Overview of Agent Modelling
xxxvii
Building Intelligent Learning Environments Using Intelligent Learning Objects
lv
Design and Evaluation of Animated Pedagogical Agents
lxxix
Maga Vitta Conversational Ecological Agent in an Interactive Collective Construction Environment for Basic Education
cix
Cognitive and Affective Student Modeling in Intelligent Learning Environments
19
Towards a Model that Considers the Students Affective Dimensions in Intelligent Learning Environments
178
Social and Affective Agents to Motivate Collaboration on AgentBased Intelligent Tutoring Systems
201
AgentBased Tutoring Systems
227
Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture
228
Pedagogical Negotiation and Solidarity Assimilation Groups in Action The Combined Efforts of EMT and Leibniz to Aid Calculus Students
260
Intelligent Tutoring Systems for Distributed Learning
292
An Architecture for Developing Multiagent Educational Applications for the Web
307
Compilation of References
324

Using Bayesian Networks for Student Modeling
20
Cognitive Models Applied to Built Intelligent Educational Applications
37
Infering Emotions and Applying Affective Tactics for a Better Learning
135
InteliWeb The ELearning System that Recognizes Aspects of SelfEfficacy
156

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About the author (2008)

Rosa Maria Viccari received her PhD in Electric Engineering and Computers from the University of Coimbra in 1990. Currently, she is an associate Professor of the Federal University of the Rio Grande do Sul. She published 20 articles in specialized journals, 159 works in events, 10 chapters of books, and 7 published books. She also supervised 24 master works and 10 PhD theses in the area of Computer Science. Her research interests are: Intelligent Tutoring Systems, Multi-Agent Systems, Distance Education, and Affective Computing.

Patrícia Augustin Jaques earned a Ph.D. degree in Computer Science from the Federal University of Rio Grande do Sul (Brazil) in 2004. During her PhD, she spent one year researching at the Leibniz Laboratory in France. Currently, she is Associate Professor in the Master Program in Computer Science of University of Vale do Rio dos Sinos. Her research interests are Intelligent Tutoring Systems, Multi-Agent Systems, and Affective Computing.

Regina Verdin Master in Psychology (PUCRS). Doctor of Science degree (UFRGS) in Computer and Education Program. The research areas are Cognitive Psychology and Artificial Intelligence, Scientific Methods and Distance Education. [Editor]

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