Using Ensemble Machine Learning and Feature Engineering to Increase the Accuracy of Predicting Learners' Performance in an Online Educational Environment

Background: Online training has gained popularity as an effective teaching method, necessitating diligent monitoring of learner progress and engagement. The challenge of predicting academic performance in online courses is crucial for supporting learners at risk of academic loss. This study aimed to...

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Bibliographic Details
Main Authors: Seyede Fatemeh Noorani, Maryam Karimi, Zahra Gholijafari
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2024-12-01
Series:Interdisciplinary Journal of Virtual Learning in Medical Sciences
Subjects:
Online Access:https://ijvlms.sums.ac.ir/article_50587_e403e00e208e76873b73eab4816479b6.pdf
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