Predicting academic student performance based on e-learning platform engagement using learning management system data

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Predicting academic student performance based on e-learning platform engagement using learning management system data

The identification of at-risk students has become increasingly more significant as these students are in the precarious position of failing their courses. This study aims to achieve the objective of proposing a student performance prediction model to identify the stage of the course where at-risk st...

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Bibliographic Details
Main Authors:	Muin, Siti Maisara Murniyati, Sidi, Fatimah, Ishak, Iskandar, Ibrahim, Hamidah, Affendey, Lilly Suriani, Daud, Mohd Faizal, Abdul, Syemsul Bahrim, Abu Bakar, Rostam
Format:	Article
Published:	Auricle Global Society of Education and Research 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/109145/

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