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2015 | OriginalPaper | Chapter

Multi-agent System for Expert Evaluation of Learning Objects from Repository

Authors : Valentina Tabares, Néstor Duque, Demetrio A. Ovalle

Published in: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection

Publisher: Springer International Publishing

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Abstract

Regarding the educational contexts based on e-learning, Learning Objects (LOs) have arisen as a new conceptual model to organize the content. Thus, it is necessary to analyze the potential impact of LOs on knowledge appropriation processes using the quality concept. In this case, quality is understood as the level of relevance of the educational resources in the teaching-learning process, associated to educational goal and other characteristics. The level of significance can be determined by evaluating the characteristics of the object by a group of experts; however, this process is not an easy task because different criteria should be considered, such as teaching, interoperability, scalability and reusability. On the other hand, a factor to solve is the selection of experts. This paper presents different dimensions and metrics to evaluate, and an automatic mechanism for the correct selection of the experts. The validation is done through the development a multi-agent system.

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Metadata
Title
Multi-agent System for Expert Evaluation of Learning Objects from Repository
Authors
Valentina Tabares
Néstor Duque
Demetrio A. Ovalle
Copyright Year
2015
Book
Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection

Print ISBN: 978-3-319-19032-7

Electronic ISBN: 978-3-319-19033-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-19033-4_27

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