AI for Students in the Age of Digitalization
Main Article Content
Abstract
The digital era has brought artificial intelligence (AI) as a significant innovation that is transforming the way students learn in higher educa-tion. This study aims to examine the benefits, challenges, and strategies for utilizing AI in higher education through a systematic literature review using the PRISMA method. The analysis results show that AI can improve the accessibility and quality of learning through person-alized materials, automated evaluation, and technology-based interactive learning support such as chatbots, virtual assistants, and augmented reality. The implementation of AI also encourages better time management, increases student motivation to learn, conceptual understanding, and problem-solving skills. However, the use of AI poses serious challenges such as the risk of dependency, decreased critical thinking skills, data privacy issues, and the potential for plagiarism. Therefore, a balanced approach is needed between the use of technology and the strengthening of ethical values, including the development of regulations, increasing digital literacy, and training educators to optimize the wise use of AI. The conclusion of this study confirms that AI, when properly integrated, not only strengthens the effectiveness of learning but also prepares students to become adaptive, creative, and ethical graduates in facing the demands of the digital era.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
Ballester, P. L. (2023). Open Science and Software Assistance: Commentary on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened.” Journal of Medical Internet Research, 25, e49323. https://doi.org/10.2196/49323
Bhutoria, A. (2022). Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068
Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century. Sustainability, 13(2), 800. https://doi.org/10.3390/su13020800
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Farid, G., Warraich, N. F., & Iftikhar, S. (2025). Digital information security management policy in academic libraries: A systematic review (2010–2022). Journal of Information Science, 51(4), 1000–1014. https://doi.org/10.1177/01655515231160026
Guan, X., Feng, X., & Islam, A. Y. M. A. (2023). The dilemma and countermeasures of educational data ethics in the age of intelligence. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01633-x
Karrenbauer, C., Brauner, T., König, C. M., & Breitner, M. H. (2023). Design, development, and evaluation of an individual digital study assistant for higher education students. Educational Technology Research and Development, 71(5). https://doi.org/10.1007/s11423-023-10255-8
Maghsudi, S., Lan, A., Xu, J., & van der Schaar, M. (2021). Personalized Education in the Artificial Intelligence Era: What to Expect Next. IEEE Signal Processing Magazine, 38(3), 37–50. https://doi.org/10.1109/MSP.2021.3055032
Májovský, M., Černý, M., Kasal, M., Komarc, M., & Netuka, D. (2023). Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened. Journal of Medical Internet Research, 25, e46924. https://doi.org/10.2196/46924
Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-Based Personalized E-Learning Systems: Issues, Challenges, and Solutions. IEEE Access, 10, 81323–81342. https://doi.org/10.1109/ACCESS.2022.3193938
Universitat Oberta de Catalunya, R., & Marsh, D. (2011). International journal of educational technology in higher education. RUSC. Universities and Knowledge Society Journal, ISSN-e 1698-580X, Vol. 8, No. 1, 2011, Págs. 233-252, 8(1).
Zafari, M., Bazargani, J. S., Sadeghi-Niaraki, A., & Choi, S.-M. (2022). Artificial Intelligence Applications in K-12 Education: A Systematic Literature Review. IEEE Access, 10, 61905–61921. https://doi.org/10.1109/ACCESS.2022.3179356
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? In International Journal of Educational Technology in Higher Education (Vol. 16, Issue 1). https://doi.org/10.1186/s41239-019-0171-0
Zhao, X. (2023). Leveraging Artificial Intelligence (AI) Technology for English Writing: Introducing Wordtune as a Digital Writing Assistant for EFL Writers. RELC Journal, 54(3), 890–894. https://doi.org/10.1177/00336882221094089