Open Access Peer-reviewed Review

AI-Driven Pedagogical Leadership in Mobile and Adaptive Learning Environments

Main Article Content

Edward Sitepu
Slamet Triadi
David Ming corresponding author

Abstract

This conceptual and comparative study examined how pedagogical leadership can guide the integration of AI-driven mobile learning to promote adaptive and sustainable education. Drawing on international cases from Indonesia, Southeast Asia, Africa, and Europe, it identifies leadership strategies that align AI innovation with ethical and humanistic principles. The proposed framework highlights how moral integrity, visionary direction, and teacher competence enable the responsible adoption of mobile and generative AI tools for personalized and ubiquitous learning. The study contributed to advancing global discourse on AI-enabled mobile learning leadership and its implications for educational policy and practice.

Keywords
pedagogical leadership, artificial intelligence, mobile learning, adaptive education, sustainable education

Article Details

How to Cite
Sitepu, E., Triadi, S., & Ming, D. (2025). AI-Driven Pedagogical Leadership in Mobile and Adaptive Learning Environments. Advances in Mobile Learning Educational Research, 5(2), 1621-1631. https://doi.org/10.25082/AMLER.2025.02.017

References

  1. Alam, A., & Kim, D. (2024). Generative artificial intelligence and educational leadership: Opportunities and ethical challenges. Educational Management Administration & Leadership.
  2. Alt, D. (2023). Assessing the benefits of gamification in mathematics for student gameful experience and gaming motivation. Computers & Education, 200, 104806. https://doi.org/10.1016/j.compedu.2023.104806
  3. Anderson, M., & Anderson, S. L. (Eds.). (2011). Machine Ethics. Cambridge University Press. https://doi.org/10.1017/cbo9780511978036
  4. Aronson, B. (2020). HumanKind: Changing the world one small act at a time. LifeTree Media.
  5. Astley, J. (2002). Ordinary theology: Looking, listening, and learning in theology. Ashgate.
  6. Barna, G. (2001). The power of vision: A new way of leadership. Regal Books.
  7. Darmawan, I. P. A., & Namsem, E. (2025). Mobile-Based Informal Learning and Digital Evangelism: Theological Students’ Use of Social Media in Indonesia. Advances in Mobile Learning Educational Research, 5(2), 1488-1500. https://doi.org/10.25082/AMLER.2025.02.006
  8. Devall-Martin, L. (2025). Sparking transformation: Redemptive adaptive AI courseware for student achievement. Christian Education Journal, 22(1), 45–62.
  9. Divjak, B., Svetec, B., Horvat, D., & Kadoić, N. (2022). Assessment validity and learning analytics as prerequisites for ensuring student-centred learning design. British Journal of Educational Technology, 54(1), 313–334. https://doi.org/10.1111/bjet.13290
  10. Gellel, A. (2019). Christian anthropology and education: A framework for holistic pedagogy. University of Malta Press.
  11. Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. Data Ethics: Building Trust: How Digital Technologies Can Serve Humanity, 621–653. https://doi.org/10.58863/20.500.12424/4276068
  12. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  13. Knox, J., Williamson, B., & Bayne, S. (2022). Machine learning and human intelligence: The future of education for the 21st century. Routledge.
  14. Lampropoulos, G., & Papadakis, S. (2025). The Educational Value of Artificial Intelligence and Social Robots. Social Robots in Education, 3–15. https://doi.org/10.1007/978-3-031-82915-4_1
  15. Lavidas, K., Papadakis, S., Manesis, D., Grigoriadou, A. S., & Gialamas, V. (2022). The Effects of Social Desirability on Students’ Self-Reports in Two Social Contexts: Lectures vs. Lectures and Lab Classes. Information, 13(10), 491. https://doi.org/10.3390/info13100491
  16. Lavidas, K., Petropoulou, A., Papadakis, S., Apostolou, Z., Komis, V., Jimoyiannis, A., & Gialamas, V. (2022). Factors Affecting Response Rates of the Web Survey with Teachers. Computers, 11(9), 127. https://doi.org/10.3390/computers11090127
  17. Lim, C., & Tan, C. (2025). Generative AI and multilingual education: Mobile-enabled innovations in Southeast Asia. Asia Pacific Education Review, 26(1), 45–62.
  18. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
  19. Martín-Núñez, J. L., Ar, A. Y., Fernández, R. P., Abbas, A., & Radovanović, D. (2023). Does intrinsic motivation mediate perceived artificial intelligence (AI) learning and computational thinking of students during the COVID-19 pandemic? Computers and Education: Artificial Intelligence, 4, 100128. https://doi.org/10.1016/j.caeai.2023.100128
  20. Matthews, P. (2025). Leading in an AI world: Adapting appropriately. Center for the Advancement of Christian Education. https://cace.org
  21. Mhlanga, D. (2023). Artificial intelligence in higher education: Case studies from sub-Saharan Africa. Education and Information Technologies, 28(3), 3187–3205.
  22. Mujiono, P., & Wibowo, D. A. (2024). Utilization of AI Media in Christian Religious Education: Effectiveness, Challenges, and Impact. Journal Didaskalia, 7(2), 102–108. https://doi.org/10.33856/didaskalia.v7i2.462
  23. Nguyen, Q., Rienties, B., & Toetenel, L. (2022). Ubiquitous learning with mobile devices: Cross-cultural perspectives from Southeast Asia. International Journal of Mobile and Blended Learning, 14(3), 1–15. https://doi.org/10.4018/IJMBL.20220701
  24. Papadakis, S., Kiv, A. E., Kravtsov, H. M., Osadchyi, V. V., Marienko, M. V., Pinchuk, O. P., ... & Striuk, A. M. (2023). Unlocking the power of synergy: the joint force of cloud technologies and augmented reality in education.
  25. Papadakis, S., Kiv, A. E., Kravtsov, H. M., Osadchyi, V. V., Marienko, M. V., Pinchuk, O. P., Shyshkina, M. P., Sokolyuk, O. M., Mintii, I. S., Vakaliuk, T. A., Azarova, L. E., Kolgatina, L. S., Amelina, S. M., Volkova, N. P., Velychko, V. Ye., Striuk, A. M., & Semerikov, S. O. (2023). ACNS Conference on Cloud and Immersive Technologies in Education: Report. CTE Workshop Proceedings, 10, 1–44. https://doi.org/10.55056/cte.544
  26. Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2024). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. Information, 15(10), 596. https://doi.org/10.3390/info15100596
  27. Sharples, M. (2023). Towards social generative AI for education: theory, practices and ethics. Learning: Research and Practice, 9(2), 159–167. https://doi.org/10.1080/23735082.2023.2261131
  28. Tilaar, H. A. R. (2004). Multiculturalism: Challenges of global future in the transformation of national education. Grasindo.
  29. UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org
  30. Van Brummelen, H. (2023). Walking with God in the classroom: Christian approaches to teaching and learning (4th ed.). Dordt University Press.
  31. Yaman, M., & Başaran, M. (2025). Unveiling Educators' Insights on Artificial Intelligence in Education: A Qualitative Study of Potential, Expectations, and Challenges. e-Kafkas Journal of Educational Research, 12(1), 280-296. https://doi.org/10.30900/kafkasegt.1493242
  32. Zawacki-Richter, O., Jung, I., & Xiao, J. (2023). Artificial intelligence in higher education: Global perspectives and practices. International Review of Research in Open and Distributed Learning, 24(2), 1–12.
  33. Zawacki-Richter, O., Kerres, M., Bedenlier, S., Bond, M., & Buntins, K. (2023). Systematic review of research on artificial intelligence applications in higher education (2012–2022). International Journal of Educational Technology in Higher Education, 20(1), 1–27.
  34. Zhang, X., Chen, Y., & Xu, F. (2023). Generative artificial intelligence and the future of education leadership: Opportunities and ethical challenges. Educational Technology Research and Development, 71(5), 2305–2324.