Analyzing click data with AI: implications for student performance prediction and learning assessment
BackgroundAs the intersection of artificial intelligence (AI) and education deepens, predictive analytics using machine learning (ML) and deep learning (DL) models offer novel approaches to assessing student performance in online environments. However, challenges remain in accurately predicting high...
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          | Main Authors: | Mahdi-Reza Borna, Hanan Saadat, Aref Tavassoli Hojjati, Elham Akbari | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | Frontiers Media S.A.
    
        2024-12-01 | 
| Series: | Frontiers in Education | 
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feduc.2024.1421479/full | 
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