2025 №3 / Empowering Schools through AI:Transforming Education with Adaptive Learning Platforms

Empowering Schools through AI:Transforming Education with Adaptive Learning Platforms

Author: Eric C. K. Cheng

DOI: 10.62670/2308-7668.2025.53.3.002

Source: Issue: vol. 53 No. 3:13 October 2025

Publisher: PE "Center of Excellence"

Document type: Research article

Abstract

Digitalisation is transforming education, offering both opportunities and challenges for schools worldwide. Central to this transformation is the integration of artificial intelligence (AI) within Learning Management Systems (LMS) to support adaptive and blended learning environments. This paper introduces an innovative AI-driven LMS equipped with modules such as Flipped Classroom and Adaptive Learning, enabling students to engage independently with foundational concepts while providing educators with real-time diagnostic insights. Leveraging advanced AI techniques, including recurrent neural networks (RNN) and long short-term memory (LSTM) algorithms, the platform dynamically evaluates student performance, personalises learning activities, and optimises learning paths to enhance outcomes. Emphasising the importance of digital leadership, professional development, and interoperability, this study presents actionable pathways for successfully implementing AI-driven LMS platforms to foster inclusive, innovative, and future-ready educational ecosystems.

Key words: AI-driven learning platforms, adaptive learning, digital transformation in education, personalised education technologies, digital leadership in schools

References

1. Altaleb, H., Mouti, S., & Beegom, S. (2023). Enhancing College Education: An AI-driven Adaptive Learning Platform (ALP) for Customised Course Experiences. 2023 9th International Conference on Optimisation and Applications (ICOA), 1–5. https://doi.org/10.1109/ICOA58279.2023.10308834
2. Soto Setzke, D., Riasanow, T., Böhm, M., & Krcmar, H. (2021). Pathways to digital service innovation: The role of digital transformation strategies in established organisations. Information Systems Frontiers, 23(5), 1343–1360.
3. Qu, M. (2025). Future of Language Learning: Unveiling the Power of AI-Driven Adaptive Platforms to Tailor Language Learning Based on Learners’ Needs, Proficiency and Learning Styles. European Journal of Education, 60(2), e70116.
4. Kovacevic, M., Dagen, T., & Rajter, M. (2025). Leading AI-Driven Student Engagement: The Role of Digital Leadership in Higher Education. Education Sciences, 15(6), 775. https://doi.org/10.3390/educsci15060775
5. Cheng, E. C. K., & Wang, T. (2023). Leading digital transformation and eliminating barriers for teachers to incorporate artificial intelligence in basic education in Hong Kong. Computers and Education: Artificial Intelligence, 5, Article 100171. https://doi.org/10.1016/j.caeai.2023.100171
6. Shi, Lei. (2025). The Integration of Advanced AI-Enabled Emotion Detection and Adaptive Learning Systems for Improved Emotional Regulation. Journal of Educational Computing Research 63(5), 173–201. doi:10.1177/07356331241296890.
7. Singh, B., Kaunert, C., Lal, S., & Arora, M. K. (2025). Enhancing AI-Augmented Classrooms: Teacher-Centric Integration of Intelligent Tutoring Systems and Adaptive Learning Environments.IGI Global.
8. Balanskat, A., Blamire, R., & Kefala, S. (2006). The ICT impact report: A review of studies of ICT impact on schools in Europe. European Schoolnet. Retrieved from https://oei.org.ar/ibertic/evaluacion/sites/default/files/biblioteca/31_theict_impact_report_in_europe.pdf
9. Srivastava, S. C., & Shainesh, G. (2015). Bridging the service divide through digital service
innovations: Evidence from Indian healthcare service providers. MIS Quarterly, 39(1), 245–267.
10. Timotheou, M., et al. (2023). Digital leadership and its impact on educational transformation. Educational Management Administration & Leadership, 51(2), 234–252.