Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review
dc.article.end-page | 48409 | en |
dc.article.start-page | 48392 | en |
dc.citation.doi | 10.1109/ACCESS.2023.3276439 | en |
dc.contributor.author | Saadia Essa | en |
dc.contributor.author | Turgay Celik | en |
dc.contributor.author | NADIA EMELIA HUMAN-HENDRICKS | en |
dc.date.accessioned | 2024-07-23T06:02:28Z | |
dc.date.available | 2024-07-23T06:02:28Z | |
dc.faculty | FACULTY OF ENGINEERING & THE BUILT ENVIRONMENT | en |
dc.identifier.citation | WOS | en |
dc.identifier.issn | 2169-3536 | en |
dc.identifier.uri | https://hdl.handle.net/10539/39694 | |
dc.journal.title | Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review | en |
dc.journal.volume | 11 | en |
dc.school | 3.05 | en |
dc.title | Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review | en |
dc.type | Journal Article | en |
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