Adapt Learning Path by Recommending Problems to Struggling Learners

The objective of this work is the creation of a resource recommendation ap-plication in Python integrated into the code of the virtual edX platform, which appears as an additional tab in each course. By selecting this tab, learners will have access at any time to their recommended issues for this co...

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Autores principales:	Youssef Jdidou, Souhaib Aammou, Mohamed Khaldi
Formato:	article
Lenguaje:	EN
Publicado:	Kassel University Press 2021
Materias:	recommender system collaborative filter learning path edx platform Education L Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/824e839097994ec09912ac30738cd228
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id	oai:doaj.org-article:824e839097994ec09912ac30738cd228
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spelling	oai:doaj.org-article:824e839097994ec09912ac30738cd2282021-12-02T18:19:44ZAdapt Learning Path by Recommending Problems to Struggling Learners1863-038310.3991/ijet.v16i20.24283https://doaj.org/article/824e839097994ec09912ac30738cd2282021-10-01T00:00:00Zhttps://online-journals.org/index.php/i-jet/article/view/24283https://doaj.org/toc/1863-0383The objective of this work is the creation of a resource recommendation ap-plication in Python integrated into the code of the virtual edX platform, which appears as an additional tab in each course. By selecting this tab, learners will have access at any time to their recommended issues for this course, and so they can adapt their learning path. In this article, we present a recommendation algorithm that will be responsible for proposing these prob-lems according to the scores obtained in the problems already performed by the learner. By calculating the similarity with the rest of the classmates, an estimate of the most practical problems for the learner will be made. We also present the different functions and parameters to implement it.Youssef JdidouSouhaib AammouMohamed KhaldiKassel University Pressarticlerecommender systemcollaborative filterlearning pathedx platformEducationLInformation technologyT58.5-58.64ENInternational Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 20, Pp 163-178 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	recommender system collaborative filter learning path edx platform Education L Information technology T58.5-58.64
spellingShingle	recommender system collaborative filter learning path edx platform Education L Information technology T58.5-58.64 Youssef Jdidou Souhaib Aammou Mohamed Khaldi Adapt Learning Path by Recommending Problems to Struggling Learners
description	The objective of this work is the creation of a resource recommendation ap-plication in Python integrated into the code of the virtual edX platform, which appears as an additional tab in each course. By selecting this tab, learners will have access at any time to their recommended issues for this course, and so they can adapt their learning path. In this article, we present a recommendation algorithm that will be responsible for proposing these prob-lems according to the scores obtained in the problems already performed by the learner. By calculating the similarity with the rest of the classmates, an estimate of the most practical problems for the learner will be made. We also present the different functions and parameters to implement it.
format	article
author	Youssef Jdidou Souhaib Aammou Mohamed Khaldi
author_facet	Youssef Jdidou Souhaib Aammou Mohamed Khaldi
author_sort	Youssef Jdidou
title	Adapt Learning Path by Recommending Problems to Struggling Learners
title_short	Adapt Learning Path by Recommending Problems to Struggling Learners
title_full	Adapt Learning Path by Recommending Problems to Struggling Learners
title_fullStr	Adapt Learning Path by Recommending Problems to Struggling Learners
title_full_unstemmed	Adapt Learning Path by Recommending Problems to Struggling Learners
title_sort	adapt learning path by recommending problems to struggling learners
publisher	Kassel University Press
publishDate	2021
url	https://doaj.org/article/824e839097994ec09912ac30738cd228
work_keys_str_mv	AT youssefjdidou adaptlearningpathbyrecommendingproblemstostrugglinglearners AT souhaibaammou adaptlearningpathbyrecommendingproblemstostrugglinglearners AT mohamedkhaldi adaptlearningpathbyrecommendingproblemstostrugglinglearners
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Adapt Learning Path by Recommending Problems to Struggling Learners

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