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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מידע ביבליוגרפי

Principais autores:	Janka Pecuchova, Martin Drlik
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Educational data mining learning analytics clustering analysis dropout prediction
גישה מקוונת:	https://ieeexplore.ieee.org/document/10736593/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!