Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students’ Digital Traces
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DOI: 10.1109/access.2024.3486762
Abstract: 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… read more here.
Keywords: early student; student dropout; enhancing early; student ... See more keywords