Building Intelligent Learning Environments Using Intelligent Learning Objects

Building Intelligent Learning Environments Using Intelligent Learning Objects

Ricardo Azambuja Silveira (Federal University of Santa Catarina (UFSC), Brazil) and Júlia Marques Carvalho da Silva (Federal University of Santa Catarina (UFSC), Brazil)
Copyright: © 2008 |Pages: 24
DOI: 10.4018/978-1-59904-768-3.ch002
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The reusability of learning material is a very important feature to design learning environments for real-life learning. The reusability of learning material is based on three main features: modularity, discoverability, and interoperability. The object learning approach aims to provide these features. At the same time, several researchers on intelligent learning environments have proposed the use of artificial intelligence through architectures based on agent societies. Teaching systems based on multiagent architectures make it possible to support the development of more interactive and adaptable systems. We proposed an approach where learning objects are built based on agent architectures: the intelligent learning object (ILO). This chapter addresses the improvement of interoperability among learning objects in agent-based learning environments by integrating learning objects technology and the multiagent systems approach. It presents the ILO agent’s basic architecture and a case study.

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Table of Contents
Ana Paiva
Rosa Maria Viccari, Patricia Augustin Jaques, Regina Verdin
Chapter 1
Helder Coelho
The field of agents is presented, taking in mind what means to be a rational entity, how it operates, can be specified, and formally described.... Sample PDF
Overview of Agent Modelling
Chapter 2
Ricardo Azambuja Silveira, Júlia Marques Carvalho da Silva
The reusability of learning material is a very important feature to design learning environments for real-life learning. The reusability of learning... Sample PDF
Building Intelligent Learning Environments Using Intelligent Learning Objects
Chapter 3
Márcia Cristina Moraes, Milene Silveira
The area of animated pedagogical agents is related to the development of applications that aim to improve the human-computer interaction process... Sample PDF
Design and Evaluation of Animated Pedagogical Agents
Chapter 4
Margarete Axt, Magalí Teresinha Longhi, Paloma Dias Silveira, Lucas Nunes Guimarães
This chapter presents the development of CIVITAS project for the construction of virtual cities, particularly with regards to Maga Vitta, which is... Sample PDF
Maga Vitta: Conversational Ecological Agent in an Interactive Collective Construction Environment for Basic Education
Chapter 5
Chao-Lin Liu
This chapter purveys an account of Bayesian networks-related technologies for modeling students in intelligent tutoring systems. Uncertainty exists... Sample PDF
Using Bayesian Networks for Student Modeling
Chapter 6
Lucia Maria Martins Giraffa, André Luís Alice Raabe
This chapter presents the results of a 10 years research focused on building intelligent tutoring systems (ITS) that aims to represent student’s... Sample PDF
Cognitive Models Applied to Built Intelligent Educational Applications
Chapter 7
Patricia Augustin Jaques, Rosa M. Viccari
This chapter aims to present an animated pedagogical agent, called Pat, that has the role of providing emotional support to the student: motivating... Sample PDF
Infering Emotions and Applying Affective Tactics for a Better Learning
Chapter 8
Francine Bica, Regina Verdin
This chapter presents the InteliWeb environment that combines agents, fuzzy logic, and student model to recognize aspects of student’ self-efficacy... Sample PDF
InteliWeb: The E-Learning System that Recognizes Aspects of Self-Efficacy
Chapter 9
Magda Bercht
This chapter introduces the affectivity as decision support to the action of tutor agent. It argues that computational teaching system should take... Sample PDF
Towards a Model that Considers the Student's Affective Dimensions in Intelligent Learning Environments
Chapter 10
Elisa Boff, Cecília Dias Flores
This chapter presents a social and affective agent, named social agent, that has been modeled using probabilistic networks in order to support and... Sample PDF
Social and Affective Agents to Motivate Collaboration on Agent-Based Intelligent Tutoring Systems
Chapter 11
Ig Bittencourt, Evandro de Barros Costa, Baldoíno Fonseca dos Santos Neto, João Guilherme Maia de Menezes, Jairo Simão Santana Melo, Edilson Ferneda, Ana Paula Bernardi da Silva, Lourdes Mattos Brasil
Tools to make the development of intelligent tutoring systems (ITS) easier and more efficient are a relevant topic within the artificial... Sample PDF
Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture
Chapter 12
João Carlos Gluz, Tânia Cabral, Paulo Baggio, Paulo Livi, Rafael Mallmann
This chapter shows how new concepts, derived from recent studies in pedagogy and intelligent tutoring systems research areas, can be applied to the... Sample PDF
Pedagogical Negotiation and Solidarity Assimilation Groups in Action: The Combined Efforts of E-M@T and Leibniz to Aid Calculus Students
Chapter 13
Mohamed Ally
This chapter provides information on how to design intelligent tutoring systems for distributed learning to cater to individual learner needs and... Sample PDF
Intelligent Tutoring Systems for Distributed Learning
Chapter 14
Tasos Triantis, Panayiotis Pintelas
New applications in training and education are emerging daily trying to meet the requirements of distance learners. Network-based or World Wide Web... Sample PDF
An Architecture for Developing Multiagent Educational Applications for the Web
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