EXPLORING THE DUAL IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATIONAL SUSTAINABILITY
Keywords:
Artificial Intelligence, educational sustainability, innovation, ethics, digital transformation, inclusionAbstract
This article explores the dual impact of Artificial Intelligence (AI) on educational sustainability, highlighting both its transformative potential and the challenges it poses to long-term educational development. The study examines how AI-driven technologies enhance learning efficiency, personalization, and accessibility, while also addressing issues of digital inequality, ethical considerations, and environmental sustainability. Through analytical insights and current examples, the paper discusses how AI contributes to sustainable education by optimizing resource management, supporting inclusive pedagogical models, and fostering lifelong learning. However, it also warns of the risks related to data privacy, dependence on technology, and the widening gap between developed and developing educational systems. The research concludes that achieving true educational sustainability through AI requires balanced strategies that integrate innovation with ethical governance and equitable access.
Downloads
References
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Thousand Oaks, CA: SAGE Publications.
Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education: Promises and implications for teaching and learning. Boston: Center for Curriculum Redesign.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Cambridge: Polity Press.
SpringerOpen. (2025). AI and sustainable education. Retrieved October 15, 2025, from https://enveurope.springeropen.com/articles/10.1186/s12302-025-01159-w
The Guardian. (2025). Pupils fear AI eroding study ability. Retrieved October 15, 2025, from https://www.theguardian.com/technology/2025/oct/15/pupils-fear-ai-eroding-study-ability-research
Williamson, B., & Piattoeva, N. (2022). Education governance and datafication: AI, accountability, and ethical challenges. New York: Routledge.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.