Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students’ Digital Traces

Educational Data Mining and learning analytics have gained significant prominence in recent years, garnering attention from researchers worldwide. This is primarily due to their potential to improve decision-making processes within higher education. This study utilizes Educational Data Mining to sug...

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書目詳細資料

Principais autores:	Janka Pecuchova, Martin Drlik
格式:	Artigo
語言:	Inglês
出版:	IEEE 2024-01-01
叢編:	IEEE Access
主題:	Educational data mining learning analytics clustering analysis dropout prediction
在線閱讀:	https://ieeexplore.ieee.org/document/10736593/
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