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Updated: Apr 26, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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Using machine learning for early identification of At-risk students

Ahmed Ewais1, Anas Arram2, Shadi Diab3

  • 1eLearning Center, Arab American University, Jenin, Palestine. aewais@aaup.edu.

Scientific Reports
|April 24, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Machine learningfeatures engineeringhigher educational institutionpredictionstudents’ performance

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