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A New Merging Algorithm Based on Semantic Relationships of Learning Objects

Learning Objects are key elements within e-Learning environment because describe the created educational material for students, besides, it permits the reusing and sharing in di_erent Learning Management Systems. Usually, when teachers need to create and structure educational experiences, they atten...

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Bibliographic Details
Main Authors: Rivas-Sanchez, Elio, Serrano Guerrero, Jesús, Menéndez, Víctor Hugo
Format: Article
Published: 2013
Subjects:
660 Ingeniería Química
Online Access:http://ribuni.uni.edu.ni/93/1/NEXO/article/view/1286
id 93
recordtype eprints
spelling 932015-03-14T03:10:03Z A New Merging Algorithm Based on Semantic Relationships of Learning Objects Rivas-Sanchez, Elio Serrano Guerrero, Jesús Menéndez, Víctor Hugo 660 Ingeniería Química Learning Objects are key elements within e-Learning environment because describe the created educational material for students, besides, it permits the reusing and sharing in di_erent Learning Management Systems. Usually, when teachers need to create and structure educational experiences, they attend to repositories for retrieving resources fitted to their interest, for reducing the e_ort and the computational time. In this paper, a proposal is presented for merging Learning Objects from heterogeneous repositories; the model is based on semantic relationships between Learning Objects retrieved from a meta-search engine, as an alternative for locating fitted educational resources for teacher’s interest. The model exposed in the proposal has been implemented as initial prototype, which retrieves Learning Objects from open repositories. An initial study results confirm the usefulness of the model. 2013-12 Article PeerReviewed text http://ribuni.uni.edu.ni/93/1/NEXO/article/view/1286 http://revistas.uni.edu.ni/index.php/Nexo/article/view/13/12 Rivas-Sanchez, Elio and Serrano Guerrero, Jesús and Menéndez, Víctor Hugo (2013) A New Merging Algorithm Based on Semantic Relationships of Learning Objects. Nexo Revista Científica, 26 (2). pp. 69-82. ISSN 1818-6742 http://ribuni.uni.edu.ni/93/
institution Universidad Nacional de Ingenieria
collection Repositorio Institucional-RIBUNI
topic 660 Ingeniería Química
spellingShingle 660 Ingeniería Química
Rivas-Sanchez, Elio
Serrano Guerrero, Jesús
Menéndez, Víctor Hugo
A New Merging Algorithm Based on Semantic Relationships of Learning Objects
description Learning Objects are key elements within e-Learning environment because describe the created educational material for students, besides, it permits the reusing and sharing in di_erent Learning Management Systems. Usually, when teachers need to create and structure educational experiences, they attend to repositories for retrieving resources fitted to their interest, for reducing the e_ort and the computational time. In this paper, a proposal is presented for merging Learning Objects from heterogeneous repositories; the model is based on semantic relationships between Learning Objects retrieved from a meta-search engine, as an alternative for locating fitted educational resources for teacher’s interest. The model exposed in the proposal has been implemented as initial prototype, which retrieves Learning Objects from open repositories. An initial study results confirm the usefulness of the model.
format Article
author Rivas-Sanchez, Elio
Serrano Guerrero, Jesús
Menéndez, Víctor Hugo
author_facet Rivas-Sanchez, Elio
Serrano Guerrero, Jesús
Menéndez, Víctor Hugo
author_sort Rivas-Sanchez, Elio
title A New Merging Algorithm Based on Semantic Relationships of Learning Objects
title_short A New Merging Algorithm Based on Semantic Relationships of Learning Objects
title_full A New Merging Algorithm Based on Semantic Relationships of Learning Objects
title_fullStr A New Merging Algorithm Based on Semantic Relationships of Learning Objects
title_full_unstemmed A New Merging Algorithm Based on Semantic Relationships of Learning Objects
title_sort new merging algorithm based on semantic relationships of learning objects
publishDate 2013
url http://ribuni.uni.edu.ni/93/1/NEXO/article/view/1286
_version_ 1652666397909581824
score 11.129828

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