Empowering Education: Leveraging Clustering and Recommendations for Enhanced Student Insights

Empowering Education: Leveraging Clustering and Recommendations for Enhanced Student Insights

This paper introduces an unsupervised machine learning approach for student clustering and personalized recommendations in education. We employ the K-means clustering algorithm to identify distinct student groups based on behavioral engagement metrics. Unlike previous studies that relied on predefin...

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Bibliographic Details
Main Authors: Kheira Ouassif, Benameur Ziani, Jorge Herrera-Tapia, Chaker Abdelaziz Kerrache
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Education Sciences
Subjects:
educational strategies
k-means clustering
recommendation system
collaborative filtering
Online Access:https://www.mdpi.com/2227-7102/15/7/819
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