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Tracking student progress and generating personalized recommendations using clustering and explainable artificial intelligence
| Title: | Tracking student progress and generating personalized recommendations using clustering and explainable artificial intelligence | Authors: | Kisić, Emilija |
Issue Date: | 2026 | Publication: | Universal Access in the Information Society | ISSN: | 1615-5289 1615-5297 Universal Access in the Information Society Search Idenfier |
Type: | Article | Collation: | vol. 25 br. 1 | DOI: | 10.1007/s10209-025-01295-3 | WoS-ID: | 001660644400005 | Scopus-ID: | 2-s2.0-105027632539 | URI: | https://enauka.gov.rs/handle/123456789/1026100 | Project: | European Commission [2021-1-BG01- KA220-HED-000031121] | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 22M22 |
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