Adaptive Learning Systems Driven by Educational Data Mining: Personalizing Math Mastery Paths

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DOI https://doi.org/10.55923/cendekia.v5i1.1
Farhan Siregar 1 , Rizky Siregar 2 , Gita Pratama 3 , Bayu Prasetyo 4
1, 2, 3, 4Faculty of Cultural Sciences, Universitas Udayana
1 farhan.siregar@unud.ac.id , 2 rizky.siregar@unud.ac.id , 3 gita.pratama@unud.ac.id , 4 bayu.prasetyo@unud.ac.id

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Intelligent tutoring platforms analyze real-time student response patterns to modulate problem difficulty. We evaluate a cloud-hosted adaptive algebra platform deployed across 20 secondary schools, demonstrating faster mastery attainment and lower dropout rates among struggling cohorts.
Issue Vol. 5 No. 1 (2026)
Section Articles
Pages 280-293
Published 2026-03-15

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