Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model

In today's educational landscape, an abundance of student data is stored within institutions, yet its practical application to address academic challenges, like poor performance in specific courses, remains constrained. Educational Data Mining, leveraging machine learning and data mining techni...

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Bibliographic Details
Main Authors: Asadi Srinivasulu, Vanithamani Palanisamy
Format: Article
Language:English
Published: Bilijipub publisher 2024-09-01
Series:Journal of Artificial Intelligence and System Modelling
Subjects:
Online Access:https://jaism.bilijipub.com/article_206713_3b2409b9b558d27e7a1c27ee5adb4588.pdf
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