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Cited by 207Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in EducationOnline Learning and Analytics

The DOI matches its Crossref record; 123 of the 126 references it cites were found in a registry or an index, and 1 are not checked yet.

Artificial intelligence-enabled adaptive learning platforms: A review

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Tan, Le Ying, Hu, Shiyu, Yeo, Darren J., Cheong, Kang Hao·2025·Computers and Education: Artificial Intelligence
DOI 10.1016/j.caeai.2025.100429
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Abstract

This review provides a comprehensive analysis of adaptive learning platforms (ALPs) in education, focusing on their pedagogical foundations, AI-driven implementations, and the challenges and successes of real-world applications. By collecting and analyzing learner data, ALPs dynamically adjust instructional content and pathways to offer personalized learning experiences, enhancing learning outcomes. The paper explores ALP design frameworks, core algorithms, and evaluation metrics, and assesses their performance across diverse educational contexts through case studies. Lastly, the review highlights key challenges ALPs face, such as privacy concerns and faculty support for implementation, and offers insights into future trends in developing adaptive technologies. This review provides educators and researchers with valuable insights into how ALPs can be effectively applied in various educational settings.

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Research works printed but not linked: 2

  1. Aggarwal, 2023, Integration of innovative technological developments and AI with education for an adaptive learning pedagogy, China Petroleum Processing and Petrochemical Technology, 23, 709
  2. Muñoz, 2022, Systematic review of adaptive learning technology for learning in higher education, Eurasian Journal of Educational Research, 98, 221

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Metadata

Authors
Tan, L. Y., Hu, S., Yeo, D. J., & Cheong, K. H.
Affiliations
Nanyang Technological University (SG)
Corresponding author
Cheong, Kang Hao
ORCID
Venue
Computers and Education: Artificial Intelligence
Publisher
Elsevier BV
Published
2025-12
Volume
9
Pages
100429
ISSN
2666-920X (ISSN-L)
DOI
10.1016/j.caeai.2025.100429
OpenAlex
W4410882319
Semantic Scholar
dde418c0ff78aea0c101f3a7c2c86ab90dd98fac
Cited by
207
References
126
Citations by year
2026: 151 · 2025: 56
FWCI
15.42
Type
journal article
Language
en
Open access
Licence
Locations
Computers and Education Artificial Intelligence (publishedVersion, cc-by-nc-nd)
Funders
Government of Singapore Ministry of Education (MOE2022-TRF-029)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Education › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
adaptive learning systems, artificial intelligence in education, personalized learning, adaptive learning algorithms, learner data, student privacy, faculty support

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