E-Learning Recommendation System for Big Data Based on Cloud Computing

In educational institutions, E-learning has been known as a successful technology for enhancing performance, concentration, and thus providing higher academic success. Nevertheless, the conventional system for executing research work and selecting courses is a time-consuming and unexciting practice,...

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Autores principales:	Mounia Rahhali, Lahcen Oughdir, Youssef Jedidi
Formato:	article
Lenguaje:	EN
Publicado:	Kassel University Press 2021
Materias:	recommender system e-learning big data technologies cloud computing hadoop spark online learning Education L Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/367588d90f8f444cb6394ed165f5a9ed
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id	oai:doaj.org-article:367588d90f8f444cb6394ed165f5a9ed
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spelling	oai:doaj.org-article:367588d90f8f444cb6394ed165f5a9ed2021-12-02T18:42:58ZE-Learning Recommendation System for Big Data Based on Cloud Computing1863-038310.3991/ijet.v16i21.25191https://doaj.org/article/367588d90f8f444cb6394ed165f5a9ed2021-11-01T00:00:00Zhttps://online-journals.org/index.php/i-jet/article/view/25191https://doaj.org/toc/1863-0383In educational institutions, E-learning has been known as a successful technology for enhancing performance, concentration, and thus providing higher academic success. Nevertheless, the conventional system for executing research work and selecting courses is a time-consuming and unexciting practice, that not only directly impacts the students ’ academic achievement but also impacts the learning experience of students. In addition to that, there is an enormous number of various kinds of data in the E-Learning domain both structured and unstructured, and the academic establishments attempt to manage and understand big complicated data sets. To fix this problem, this paper proposes a model of an E-learning recommendation system that will suggest and encourage the learner in choosing the courses according to their needs. This system used big data tools such as Hadoop and Spark to enhance data collection, storage, analysis, processing, optimization, and visualization, furthermore based on cloud computing infrastructure and especially Google cloud services.Mounia RahhaliLahcen OughdirYoussef JedidiKassel University Pressarticlerecommender systeme-learningbig data technologiescloud computinghadoopsparkonline learningEducationLInformation technologyT58.5-58.64ENInternational Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 21, Pp 177-192 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	recommender system e-learning big data technologies cloud computing hadoop spark online learning Education L Information technology T58.5-58.64
spellingShingle	recommender system e-learning big data technologies cloud computing hadoop spark online learning Education L Information technology T58.5-58.64 Mounia Rahhali Lahcen Oughdir Youssef Jedidi E-Learning Recommendation System for Big Data Based on Cloud Computing
description	In educational institutions, E-learning has been known as a successful technology for enhancing performance, concentration, and thus providing higher academic success. Nevertheless, the conventional system for executing research work and selecting courses is a time-consuming and unexciting practice, that not only directly impacts the students ’ academic achievement but also impacts the learning experience of students. In addition to that, there is an enormous number of various kinds of data in the E-Learning domain both structured and unstructured, and the academic establishments attempt to manage and understand big complicated data sets. To fix this problem, this paper proposes a model of an E-learning recommendation system that will suggest and encourage the learner in choosing the courses according to their needs. This system used big data tools such as Hadoop and Spark to enhance data collection, storage, analysis, processing, optimization, and visualization, furthermore based on cloud computing infrastructure and especially Google cloud services.
format	article
author	Mounia Rahhali Lahcen Oughdir Youssef Jedidi
author_facet	Mounia Rahhali Lahcen Oughdir Youssef Jedidi
author_sort	Mounia Rahhali
title	E-Learning Recommendation System for Big Data Based on Cloud Computing
title_short	E-Learning Recommendation System for Big Data Based on Cloud Computing
title_full	E-Learning Recommendation System for Big Data Based on Cloud Computing
title_fullStr	E-Learning Recommendation System for Big Data Based on Cloud Computing
title_full_unstemmed	E-Learning Recommendation System for Big Data Based on Cloud Computing
title_sort	e-learning recommendation system for big data based on cloud computing
publisher	Kassel University Press
publishDate	2021
url	https://doaj.org/article/367588d90f8f444cb6394ed165f5a9ed
work_keys_str_mv	AT mouniarahhali elearningrecommendationsystemforbigdatabasedoncloudcomputing AT lahcenoughdir elearningrecommendationsystemforbigdatabasedoncloudcomputing AT youssefjedidi elearningrecommendationsystemforbigdatabasedoncloudcomputing
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E-Learning Recommendation System for Big Data Based on Cloud Computing

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