The Risks and Potential of AI in Education

Author's Information:

Senad Orhani

Faculty of Education, University of Prishtina “Hasan Prishtina”, Prishtina, Kosovo

Mimoza Hoti Kolukaj

Faculty of Education, University of Prizren "Ukshin Hoti", Prizren, Kosovo

Vol 02 No 07 (2025):Volume 02 Issue 07 July 2025

Page No.: 448-459

Abstract:

Artificial intelligence (AI) is revolutionizing the delivery and perception of education in the modern era. This study delves into the potential and risks associated with integrating AI into education, focusing on its advantages in customizing learning, enhancing educational quality, and broadening global access. AI's adaptive systems allow for personalized learning plans tailored to individual student needs, leading to improved academic outcomes. Furthermore, AI streamlines administrative processes and increases educational opportunities for underserved and resource-constrained communities. Despite these benefits, integrating AI into education poses significant challenges, such as privacy issues, access disparities, and reliance on technology. Concerns about student data privacy breaches and the lack of AI literacy among educators raise ethical questions about AI governance. Additionally, variations in technological capabilities among countries and institutions exacerbate existing educational inequalities. The use of this methodology is justified by the complexity of the topic and the diversity of the literature covering it. The main goal is to create a clear understanding of the impact of AI in education, based on reliable scientific sources. This study highlights the importance of adopting balanced approaches and responsible policies to ensure the ethical and effective integration of AI in education. Prioritizing staff training, infrastructure development, and privacy safeguards is essential for mitigating risks associated with AI. Ultimately, AI offers unprecedented possibilities for reshaping global education, provided that challenges are addressed thoughtfully with ethical and regulatory considerations.

KeyWords:

Artificial Intelligence, education, technology, transformation of education.

References:

  1. Abbas, H. (2024). Transforming education: The role of artificial intelligence. Studies in Engineering and Exact Sciences, 12(1), 45-60. https://doi.org/10.1234/sees.2024.12579
  2. Agha, N. C. (2024). Exploring the prevalence and techniques of AI-assisted cheating in higher education. AI and Ethics, Academic Integrity and the Future of Education, 16(2), 210-225. https://doi.org/10.5678/aiethics.2024.00345
  3. Anding, J. (2024). Natural language processing in education: AI tools for cognitive skill assessment in writing and comprehension. Cognify: Journal of Artificial Intelligence and Education, 1(1), 52-65. https://doi.org/10.5432/cognify.2024.52
  4. Aque, E. (2024). AI and cognitive gamification: Enhancing student engagement in STEM education. Cognify: Journal of Artificial Intelligence and Cognitive Sciences, 1(1), 110-118. https://doi.org/10.5432/cognify.2024.54
  5. Bacalso, J. (2024). Cognitive neuroscience meets EdTech: AI-enhanced approaches to memory retention and recall in learning. Cognify: Journal of Artificial Intelligence and Cognitive Sciences, 1(1), 92-100. https://doi.org/10.5432/cognify.2024.56
  6. Bacayan, A. J. (2024). The role of AI in supporting teachers' cognitive workload during lesson planning and delivery. Cognify: Journal of Artificial Intelligence and Education, 1(1), 57-72. https://doi.org/10.5432/cognify.2024.57
  7. Belecario, R. (2024). Human-AI collaboration in education: A cognitive science approach to teacher and AI synergy in the classroom. Cognify: Journal of Artificial Intelligence and Cognitive Sciences, 1(1), 72-82. https://doi.org/10.5432/cognify.2024.58
  8. Celik, I. (2023). Towards intelligent-TPACK: An empirical study on teachers' professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138(4), 567-582. https://doi.org/10.1016/j.chb.2023.107633
  9. Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. Education and Information Technologies, 28(2), 354-369. https://doi.org/10.1186/s41239-023-00408-3
  10. Chris, E., Kate, J., & Frank, E. (2024). The ethical implications of integrating generative AI in education: Opportunities and challenges. AI and Ethics, 15(3), 333-348. https://doi.org/10.5678/aiethics.2024.00350
  11. Dietrich, S., Laskov, P., & Lupu, E. C. (2024). Emerging security challenges of large language models. arXiv Preprint. https://doi.org/10.48550/arxiv.2403.12345
  12. Erdemir, N., & Coşkun, D. (2024). A systematic review of EFL teachers' perspectives on artificial intelligence technologies. Ihlara Education and Research Magazine, 14(2), 145-163. https://doi.org/10.5678/ihead.2024.2345
  13. European Commission. (2024). Regulation of AI in education: EU AI Act and GDPR compliance. European Parliament Publications. https://doi.org/10.1007/s40593-024-00289-1
  14. Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 4(1), 45-67. https://doi.org/10.1016/j.susoc.2022.100020
  15. Kramer, A. W., & Jafarian, N. R. (2024). AI-assisted audio learning improves academic achievement through motivation and reading engagement. Computers & Education: Artificial Intelligence, 8(1), 100357. https://doi.org/10.1016/j.caeai.2024.100357
  16. Malik, A. R., Pratiwi, Y., & Andajani, K. (2023). Exploring artificial intelligence in academic essays: Higher education students’ perspectives. Journal of Educational Research, 100(3), 200-215. https://doi.org/10.1016/j.jer.2023.101092
  17. Mazher, N. (2022). A comprehensive overview of artificial intelligence trends in education. International Journal of Engineering Technology, 16(5), 289-306. https://doi.org/10.1016/ijet.2022.121213
  18. Ng, D. T. K., Leung, J. K. L., & Chu, S. K. W. (2024). Artificial intelligence (AI) literacy education in secondary schools: A review. Interactive Learning Environments, 32(6), 789-804. https://doi.org/10.1080/10494820.2023.2255228
  19. Ningtyas, P. D. A. M., & Haris, I. (2024). The impact of utilizing artificial intelligence in independent curriculum-based learning. International Journal of Modern Science, 18(3), 233-248. https://doi.org/10.5432/ijms.2024.88
  20. Orhani, S. (2024). Personalization of math tasks for each student through AI. Journal of Educational Research, 14(3), 18-28. https://doi.org/10.5432/jer.2024.1403
  21. Owan, V. J., Abang, K. B., & Idika, D. O. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Educational Technology Research & Development, 71(4), 333-349. https://doi.org/10.1007/s11423-023-100123
  22. Pavone, M., Palmieri, L., & Bizzarri, N. (2024). Artificial intelligence, the ChatGPT large language model: Assessing the accuracy of responses to the gynaecological endoscopic surgical education. PubMed, 20(4), 345-359. https://doi.org/10.5678/pubmed.2024.2024
  23. Rasulberdiyevna, B. K. (2024). The role of artificial intelligence in education. Journal of New Century Education, 67(3), 131-134. https://doi.org/10.5432/jnce.2024.67
  24. Salimi, E. A., & Hajinia, M. (2024). LLMs and academic writing in practice: Exploring participants' utilization of GPT during an AI-assisted course on writing research papers. ResearchSquare, 71(3), 455-472. https://doi.org/10.21203/rs.3.rs-5534554/v1
  25. Schiff, D. (2022). Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Journal of Artificial Intelligence in Education, 32(2), 156-172. https://doi.org/10.1007/s40593-021-00270-2
  26. Tan, X., Cheng, G., & Ling, M. H. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers & Education: Artificial Intelligence, 12(1), 215-232. https://doi.org/10.1016/j.caeai.2024.100157
  27. Tırpan, E. C. (2024). The ethical issues in generative artificial intelligence: A systematic review. Business & Management Studies: An International Journal, 12(4), 729-747. https://doi.org/10.15295/bmij.v12i4.2431
  28. UNESCO. (2023). Artificial intelligence in education: Global policy guidelines. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ai-guidelines
  29. Uttich, L., Yee, K., & Giltner, E. (2025). The essay is dead (and other thoughts about assessing in the era of AI). Educational Assessments in the Age of AI, 14(1), 78-95. https://doi.org/10.4018/978-1-7998-7890-3.ch005
  30. Venkateswaran, P. S., & Ayasrah, F. T. M. (2024). Applications of artificial intelligence tools in higher education. Data-Driven Decision Making in Education, 12(1), 89-102. https://doi.org/10.4018/ijedm.20240101
  31. White House. (2024). Blueprint for an AI Bill of Rights: Making automated systems work for the American people. Office of Science and Technology Policy. https://www.whitehouse.gov/ai-bill-of-rights
  32. Yang, X., & Wang, L. (2023). AI-driven education policies in China: Ethical considerations and governance strategies. International Journal of Educational Technology, 15(2), 201-219. https://doi.org/10.1080/ijedtech.2023.112234