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...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2023
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| 主題: | |
| オンライン･アクセス: | http://eprints.usm.my/62921/ |
| Abstract | Abstract here |
| _version_ | 1855630528040927232 |
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| author | Ashraf, Erum |
| author_facet | Ashraf, Erum |
| author_sort | Ashraf, Erum |
| 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. |
| first_indexed | 2025-10-17T08:54:43Z |
| format | Thesis |
| id | usm-62921 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:54:43Z |
| publishDate | 2023 |
| record_format | EPrints |
| record_pdf | Restricted |
| spelling | usm-629212025-10-08T07:05:32Z 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 |
| thesis_level | PhD |
| 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/ |
| work_keys_str_mv | AT ashraferum approachforoptimizingcourserecommendationbasedonintegratingmodifiedfeldersilvermanlearningstylemodelwithmetaheuristicsalgorithm |