Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm

E-learning's popularity surges due to technology, flooding Massive Open Online Course (MOOC) platforms with courses, causing information overload. Recommender systems filter courses but struggle with learning styles due to lack of standardized datasets and measurement approaches, hindering data...

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Main Author: Ashraf, Erum
Format: Thesis
Language:en
Published: 2023
Subjects:
Online Access:http://eprints.usm.my/62921/1/Pages%20from%20ERUM%20ASHRAF%20-%20TESIS.pdf
http://eprints.usm.my/62921/
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_version_ 1845469922912632832
author Ashraf, Erum
author_facet Ashraf, Erum
author_sort Ashraf, Erum
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
description E-learning's popularity surges due to technology, flooding Massive Open Online Course (MOOC) platforms with courses, causing information overload. Recommender systems filter courses but struggle with learning styles due to lack of standardized datasets and measurement approaches, hindering data collection in resource-constrained educational institutions. This research streamlines course selection by matching it with learners' styles. It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. The proposed scheme supported the personalized course recommendations to students suitable with student learning style.
format Thesis
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institution Universiti Sains Malaysia
language en
publishDate 2023
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spelling my.usm.eprints.62921 http://eprints.usm.my/62921/ Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm Ashraf, Erum T1-995 Technology(General) E-learning's popularity surges due to technology, flooding Massive Open Online Course (MOOC) platforms with courses, causing information overload. Recommender systems filter courses but struggle with learning styles due to lack of standardized datasets and measurement approaches, hindering data collection in resource-constrained educational institutions. This research streamlines course selection by matching it with learners' styles. It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. The proposed scheme supported the personalized course recommendations to students suitable with student learning style. 2023-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/62921/1/Pages%20from%20ERUM%20ASHRAF%20-%20TESIS.pdf Ashraf, Erum (2023) Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm. PhD thesis, Universiti Sains Malaysia.
spellingShingle T1-995 Technology(General)
Ashraf, Erum
Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
title Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
title_full Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
title_fullStr Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
title_full_unstemmed Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
title_short Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
title_sort approach for optimizing course recommendation based on integrating modified felder-silverman learning style model with meta-heuristics algorithm
topic T1-995 Technology(General)
url http://eprints.usm.my/62921/1/Pages%20from%20ERUM%20ASHRAF%20-%20TESIS.pdf
http://eprints.usm.my/62921/
url_provider http://eprints.usm.my/