A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities

Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the proces...

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Autores principales:	Higinio Mora, Antonio Ferrández, David Gil, Jesús Peral
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2017
Materias:	natural language processing topic detection distance learning online forum mooc managing e-learning Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/ee83a377f6ec4632b214899007d63a04
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spelling	oai:doaj.org-article:ee83a377f6ec4632b214899007d63a042021-12-02T19:25:57ZA Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities10.19173/irrodl.v18i1.26371492-3831https://doaj.org/article/ee83a377f6ec4632b214899007d63a042017-02-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2637https://doaj.org/toc/1492-3831Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the processing of online forums when a huge number of messages are generated. These forums provide an excellent platform for learning and connecting students of the subject, but the difficulties in following and searching the vast volume of information that they generate may produce the opposite effect. In this paper, we propose a computational method for enabling the educational process in huge online learning communities. This method analyses the forum information through Natural Language Processing techniques and extract the main topics discussed. The results generated improves the management of the forums, increases the effectiveness of the teachers’ explanations and reduces the time spent by students to follow the course. The proposal has been complemented with a real case study that shows promising results. Higinio MoraAntonio FerrándezDavid GilJesús PeralAthabasca University Pressarticlenatural language processingtopic detectiondistance learningonline forummooc managinge-learningSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 18, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	natural language processing topic detection distance learning online forum mooc managing e-learning Special aspects of education LC8-6691
spellingShingle	natural language processing topic detection distance learning online forum mooc managing e-learning Special aspects of education LC8-6691 Higinio Mora Antonio Ferrández David Gil Jesús Peral A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
description	Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the processing of online forums when a huge number of messages are generated. These forums provide an excellent platform for learning and connecting students of the subject, but the difficulties in following and searching the vast volume of information that they generate may produce the opposite effect. In this paper, we propose a computational method for enabling the educational process in huge online learning communities. This method analyses the forum information through Natural Language Processing techniques and extract the main topics discussed. The results generated improves the management of the forums, increases the effectiveness of the teachers’ explanations and reduces the time spent by students to follow the course. The proposal has been complemented with a real case study that shows promising results.
format	article
author	Higinio Mora Antonio Ferrández David Gil Jesús Peral
author_facet	Higinio Mora Antonio Ferrández David Gil Jesús Peral
author_sort	Higinio Mora
title	A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
title_short	A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
title_full	A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
title_fullStr	A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
title_full_unstemmed	A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
title_sort	computational method for enabling teaching-learning process in huge online courses and communities
publisher	Athabasca University Press
publishDate	2017
url	https://doaj.org/article/ee83a377f6ec4632b214899007d63a04
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A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities

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