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The Impact of AI and LMS Integration on the Future of Higher Education: Opportunities, Challenges, and Strategies for Transformation
Open accessAbstract
The integration of artificial intelligence (AI) and learning management systems (LMS) is revolutionising higher education, offering unprecedented opportunities for personalised learning, adaptive assessments, and data-driven decision-making. This review investigates the impact of AI–LMS integration on educational quality, student success, and institutional performance in higher education. In addition, this review not only examines the technological integration but also evaluates how AI–LMS systems contribute to sustainable development in higher education through reduced resource consumption, improved accessibility, and enhanced educational equity. Following the PRISMA 2020 guidelines, a comprehensive search of the Scopus database yielded 60 relevant studies published between 2014 and 2023. The review reveals significant benefits of AI–LMS integration, including enhanced student engagement, personalised learning paths, and improved learning outcomes. Key applications include AI-powered conversational agents, adaptive assessments, and learning analytics. However, challenges such as data privacy concerns, algorithmic bias, and the need for faculty training were also identified. The findings highlight strategies for effective AI–LMS implementation, emphasising the importance of ethical considerations and addressing the digital divide. Results demonstrate that AI–LMS integration can significantly enhance educational quality and student performance when implemented thoughtfully. The review also uncovers areas requiring further research, including long-term impacts on learning outcomes, scalability of AI–LMS solutions, and strategies for ensuring equitable access. Future studies should focus on longitudinal assessments of AI–LMS effectiveness, the development of ethical frameworks for AI in education, and the exploration of AI–LMS applications in diverse educational contexts. This review provides valuable insights for higher education institutions seeking to leverage AI–LMS integration to transform teaching and learning practices.
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Niyibizi, O. (2026) · Journal of Technology-Assisted Learning · doi:10.70232/jtal.v2i1.22 · Cited by 1
“However, a point of contrast might lie in the potential over-reliance or uncritical acceptance of LLM-driven personalization without considering potential biases and limitations inherent in the models (Alotaibi, 2024).”
Juma, L., Chavula, P., Kayusi, F., & Vallejo, R. G. (2026) · Región Científica · doi:10.58763/rc2026531 · Cited by 3
Bukhari, S. I., Bibi, R., & Bhatti, M. S. (2025) · ACADEMIA International Journal for Social Sciences · doi:10.63056/acad.004.04.1254 · Cited by 1
“Compared to other governmental administrative bodies, these systems assist in resource allocation, curriculum development, and efficiency of the administration by converting raw data into actionable intelligence at the institutional level (Alotaibi, 2024).”
REINVENTING ARTISTIC IDENTITY IN THE AGE OF ALGORITHMS
Amin, R., Srivastava, S., Singh, M., Bhushan, B., & Poudwal, J. (2025) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v6.i2s.2025.6737 · Cited by 1
AI-ENHANCED ANIMATION TECHNIQUES FOR ART EDUCATION
Nangare, V., Gupta, A., Umakanth.S, Mungekar, P., Bhushan, B., & Kak, S. M. (2025) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v6.i2s.2025.6702 · Cited by 1
Yun, S., Guan, S.-H., Zhao, Y., Xiang, Q., Zhang, C., & Biswal, B. (2025) · Mathematics · doi:10.3390/math13203294 · Cited by 1
Pelatihan Pengelolaan LMS Untuk Meningkatkan Efektivitas Pembelajaran Di SMAN 2 Temanggung
Munir, A., Nurkhamid, N., Setiyawan, R., Mustofa, Z., & Wardani, R. (2025) · Jurnal Masyarakat Madani Indonesia · doi:10.59025/n1e58r88 · Cited by 1
Rahman, N. Z. A., Ahmad, N., Rashid, N. H. A., Hakim, N. A., Vaiappuri, S., & Raof, W. N. A. A. (2025) · Journal of Information & Knowledge Management · doi:10.24191/jikm.v15i2.7421 · Cited by 1
“AI technologies enhance efficiency, personalize learning experiences and improve access to information, thereby reshaping traditional teaching and learning processes (Alotaibi, 2024).”
Lubis, F. S., Kartiwi, M., & Seman, M. S. A. (2025) · International Conferences on Information Science and System · doi:10.1109/iciss66954.2025.11389426 · Cited by 1
Ahmad, S., Shaheen, R., Dildar, M. S., & Mahmood, A. (2025) · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · doi:10.1109/acdsa65407.2025.11166260 · Cited by 2
“It is important to understand the perception of faculty towards adopting these AI-enhanced tools and their readiness, since they play a key role in implementing this technology into academic settings successfully [9].”
Herbert, P. S. (2026) · 2026 International Conference on AI Innovations and Industry (ICAIII) · doi:10.1109/icaiii69475.2026.11521474
“Furthermore, there has been a jump in the integration of AI in learning management systems (LMS) [5].”
Multimodal learning analytics infrastructure and adaptive digital assessment
Asha, S., & Joshith, V. P. (2026) · Discover Education · doi:10.1007/s44217-026-02301-3
LuRuiJing, Warpala, I. W. S., & Parwati, N. N. (2026) · Jurnal Paedagogy · doi:10.33394/jp.v13i4.21822
Beyond AI Use: Understanding University Students’ Acceptance of AI-Assisted Academic Misuse
Alzougool, B., & Banna, S. A. (2026) · European Conference on e-Learning · doi:10.34190/ecel.25.1.5340
“AI-specific policy and plagiarism awareness may be more proximal because clear rules can specify permitted, restricted, and prohibited uses, disclosure requirements, and the academic implications of unattributed AI-generated material (Chan, 2025; Khairullah et al., 2025; Alotaibi, 2024).”
Huang, Z.-H., Fei, Y., & Song, G. (2026) · Journal of Education in Science Environment and Health · doi:10.55549/jeseh.920
“…on the integration of AI with learning management systems (LMS) or extended reality (XR) in higher education, documenting benefits such as personalized learning and adaptive assessment, alongside challenges including data privacy concerns and algorithmic bias (Alotaibi, 2024; Lázaro & Duart, 2023).”
Pehlivan, G. F. (2026) · ANASAY · doi:10.33404/anasay.1900448
Nguyen, G. (2026) · Journal of Artificial Intelligence and Technological Development · doi:10.59324/jaitd.2026.2(5).03
Educators’ and students’ views on the impact of artificial intelligence in higher education
Ang, C. (2026) · Discover Education · doi:10.1007/s44217-026-02174-6
“At the same time, much of the literature has focused on documenting educational benefits, challenges, patterns of use, or attitudes towards AI [1, 21, 29, 35].”
InfluentialAI and Financial Education for Women Entrepreneurs: India’s Role in Global Impact
Thakur, K., Mittal, S. K., & Raqshin, S. (2026) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2026.v08i04.86900
Vor, P., Sam, R., Szeles, M. R., Kheuy, S., & Da, V. (2026) · European Journal of Arts Humanities and Social Sciences · doi:10.59324/ejahss.2026.3(5).03
An, C., Li, Y., Jiang, N., Yingying, W., & Peng, Y. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1849910
Kermanian, M. (2026) · Journal of Intelligent Decision Making and Information Science · doi:10.17762/jidmis.v3.2662
“…evident in higher education institutions, where AI technologies such as learning analytics, predictive modeling, intelligent tutoring systems, and automated decision-support platforms are reshaping teaching, administration, and organizational governance (Shrestha et al., 2019; Alotaibi, 2024).”
Bahij, M. A., Xamdamovna, I. Z., Fatoni, M. H., Santoso, B., & Handayani, Y. (2026) · Journal of Contemporary Pedagogy and Learning Science · doi:10.65310/95wd4b21
Supriadi (2026) · Journal of Intelligent Decision Making and Information Science · doi:10.59543/jidmis.v3.1416
“These findings are also supported by recent studies indicating that integrated documentation systems can enhance transparency, accountability, and the effectiveness of learning management (Alotaibi, 2024; Madyatmadja et al., 2023).”
Bamigboye, O. (2026) · IJIE (Indonesian Journal of Informatics Education) · doi:10.20961/ijie.v10i1.114680
“…the integration of AI with Learning Management Systems (LMSs) such as Moodle and Blackboard can personalise support for students with varied learning needs, offering adaptive content, automated feedback, and real-time monitoring that can help identify and support at-risk learners (Alotaibi, 2024).”
Ristika, M., & Sulastri, Y. (2026) · Islamic Studies and Education Journal · doi:10.67467/isej.v1i3.145
“AI-powered educational systems can identify individual learning characteristics, personalize learning pathways, provide immediate feedback, and support data-informed assessment and pedagogical decision-making (Tapalova et al., 2022; Gligorea et al., 2023; Alotaibi, 2024).”
Pradeka, D., Vierdansyah, D. Z., Agustini, D. A. R., Adiwilaga, A., Humaira, S. A., Billa, A. S., & Budiman (2026) · TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika · doi:10.37373/tekno.v13i2.2101
“LMS offers various teaching and learning methods to respond to different educational needs [8][9].”
Barahona, G. V., & de Gómez, E. L. C. (2026) · Innovaciones educativas · doi:10.22458/ie.v28i45.6535 · Cited by 1
Kadırhan, Z. (2026) · Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.35379/cusosbil.1696829
Fitó-Bertran, À., & Torrent-Sellens, J. (2026) · Journal of Higher Education Policy and Management · doi:10.1080/1360080x.2026.2698133
Ahmad, A., Karaky, H., & Shahine, M. Y. A. (2026) · Computer Applications in Engineering Education · doi:10.1002/cae.70227
Integrating Intensive Competency-based AI Courses into Moodle – Challenges and Opportunities
Parusheva, S. S., Vassileva, B. K., Strashimirova, P., & Miltenoff, P. (2026) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2026-0059
“To promote engagement and foster a better understanding of complex ideas, it is advised to integrate AI tools and use interactive learning materials (Alotaibi, 2024): Mind Maps are employed as visual learning tools to facilitate idea generation, structured thinking and conceptual understanding in…”
Wenjing, X., Marešová, H., & Khan, S. (2026) · SAGE Open · doi:10.1177/21582440261494304
Metadata
- Authors
- Alotaibi, N. S.
- Affiliations
- Imam Mohammad ibn Saud Islamic University (SA)
- Corresponding author
- Alotaibi, Nayef Shaie
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2024-11-27
- Volume
- 16
- Issue
- 23
- Pages
- 10357
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4404766970
- Cited by
- 146
- References
- 39
- Citations by year
- 2026: 77 · 2025: 69
- FWCI
- 55.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Digital Transformation of Higher Education
- Keywords
- artificial intelligence in education, virtual learning environments, higher education, personalized learning, adaptive testing, learning analytics, chatbots, data privacy, algorithmic bias, faculty training, digital divide, educational equity, student engagement, AI ethics, educational sustainability
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