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Predicting the Performance of Students Using Deep Ensemble Learning

Universities and schools rely heavily on the ability to forecast student performance, as it enables them to develop efficient strategies for enhancing academic results and averting student attrition. The automation of processes and the management of large datasets generated by technology-enhanced le...

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Autori principali: Bo Tang, Senlin Li, Changhua Zhao
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-12-01
Serie:Journal of Intelligence
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Accesso online:https://www.mdpi.com/2079-3200/12/12/124
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