Artificial Intelligence (AI) has revolutionized the world in all spheres of life. Starting with the fundamentals, AI has altered key areas in the industry and is now poised to encroach upon the realm of education, most notably in higher education. Undoubtedly, the reliance on AI has been steadily rising in the past few years, and the University of Nizwa, in the Sultanate of Oman has been taken as a case study to establish the link between student performance and the usage of AI. Being exploratory research, this article attempts to shed light on the perspectives of AI being used to bolster students’ motivation and the extent of their involvement in the learning process. The main aim of this study is to observe the moderating factors, such as academic specialization and academic level, which may impact the relationship between the use of AI technologies and the students’ academic performance at the University of Nizwa. In doing so, this study seeks to answer questions on how educational specialization influences students’ gains from AI technologies. What are the challenges students encounter in utilizing AI technologies in their learning? For the research methodology, this study employed a quantitative approach based on a structured questionnaire analyzed using statistical procedures (descriptive statistics, correlation, regression and t-test) for the 115 random samples.
References
[1]
García-Martínez, I., Fernández-Batanero, J.M., Fernández-Cerero, J. and León, S.P. (2023) Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-Analysis. Journal of New ApproachesinEducationalResearch, 12, 171-197. https://doi.org/10.7821/naer.2023.1.1240
[2]
Dong, L., Tang, X. and Wang, X. (2025) Examining the Effect of Artificial Intelligence in Relation to Students’ Academic Achievement: A Meta-Analysis. ComputersandEducation:ArtificialIntelligence, 8, Article 100400. https://doi.org/10.1016/j.caeai.2025.100400
[3]
Jiao, J., Wang, J. and Liu, X. (2022) The Impact of Artificial Intelligence on Students’ Academic Performance: A Focus on Interaction Level. EducationalTechnologyRe-searchandDevelopment, 70, 415-428.
[4]
Guidoum, S. and Saadi, E. (2024) The Impact of Artificial Intelligence on Students’ Academic Performance from University Teachers’ Perspectives. ATRASjournal, 5, 381-395. https://doi.org/10.70091/atras/ai.24
[5]
Shahzad, M.F., Xu, S., Lim, W.M., Yang, X. and Khan, Q.R. (2024) Artificial Intelligence and Social Media on Academic Performance and Mental Well-Being: Student Perceptions of Positive Impact in the Age of Smart Learning. Heliyon, 10, e29523. https://doi.org/10.1016/j.heliyon.2024.e29523
[6]
Shahzad, M.F., Xu, S. and Javed, I. (2024) ChatGPT Awareness, Acceptance, and Adoption in Higher Education: The Role of Trust as a Cornerstone. InternationalJournalofEducationalTechnologyinHigherEducation, 21, Article No. 46. https://doi.org/10.1186/s41239-024-00478-x
[7]
Adewale, M.D., Azeta, A., Abayomi-Alli, A. and Sambo-Magaji, A. (2024) Impact of Artificial Intelligence Adoption on Students’ Academic Performance in Open and Distance Learning: A Systematic Literature Review. Heliyon, 10, e40025. https://doi.org/10.1016/j.heliyon.2024.e40025
[8]
Abdulhajar, E., Wahyusari, A., Nevrita, N., Irawan, D., Zaitun, Z., Sartika, D., etal. (2024) Students’ Acceptance of ChatGPT Technology: A Study of Its Positive and Negative Impacts on Academic Ethics and Learning Performance. SHSWebofConferences, 205, Article ID: 07003. https://doi.org/10.1051/shsconf/202420507003
[9]
Ma’amor, H., Achim, N., Ahmad, N.L., Roszaman, N.S., Kamarul Anuar, N.N., Khairul Azwa, N.C.A., etal. (2024) The Effect of Artificial Intelligence (AI) on Students’ Learning. InformationManagementandBusinessReview, 16, 856-867. https://doi.org/10.22610/imbr.v16i3s(i)a.4178
[10]
Strazda, A., Dehtjare, J., Mironova, J., Kinderis, R. and Vveinhardt, J. (2025) The Role of AI Tools in Improving Practices in E-Learning Environment: A Pilot Study. TEMJournal, 14, Article 2972. https://doi.org/10.18421/tem144-08
[11]
Hamadneh, A.S., Saade, R.G. and Azzam, R. (2022) The Impact of Artificial Intelligence Tools on Academic Performance in Higher Education. JournalofEducationalTechnologyDevelopmentandExchange, 15, 45-67.
[12]
Ijiga, O.M., Ifenatuora, G.P. and Olateju, M. (2022) AI-Powered E-Learning Platforms for STEM Education: Evaluating Effectiveness in Low-Bandwidth and Remote Learning Environments. InternationalJournalofScientificResearchinComputerScience,EngineeringandInformationTechnology, 8, 455-475. https://doi.org/10.32628/cseit23902187
[13]
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T. and Du, Z. (2024) Artificial Intelligence in Education: A Systematic Literature Review. ExpertSystemswithApplications, 252, Article 124167. https://doi.org/10.1016/j.eswa.2024.124167
[14]
Altememy, H.A., Neamah, N.R., Mazhair, R., Naser, N.S., Fahad, A.A., Al-Sammarraie, N.A., Sharif, H.R., Alseidi, M.A. and Al-Muttar, M.Y.O. (2023) AI Tools’ Impact on Student Performance: Focusing on Student Motivation & Engagement in Iraq. PrzestrzeńSpołeczna (SocialSpace), 23, 143-165. https://socialspacejournal.eu/menu-script/index.php/ssj/article/view/217
[15]
Ben, A., Zhang, L. amnd Liu, H. (2024) The Role of Academic Discipline in the Adoption of Artificial Intelligence Tools: An Empirical Study. JournalofEducationalComputingResearch, 56, 133-150.
[16]
Coursera Staff (2024) AI in Education: Approaches and Strategies for Educators. https://www.coursera.org/articles/ai-in-education
[17]
Vieriu, A.M. and Petrea, G. (2025) The Impact of Artificial Intelligence (AI) on Students’ Academic Development. EducationSciences, 15, Article 343. https://doi.org/10.3390/educsci15030343
[18]
Klimova, B. and Pikhart, M. (2025) Exploring the Effects of Artificial Intelligence on Student and Academic Well-Being in Higher Education: A Mini-Review. FrontiersinPsychology, 16, Article 1498132. https://doi.org/10.3389/fpsyg.2025.1498132
Tanveer, I., Iqbal, S. and Hussain, A. (2024) Examining the Impact of AI-Based Chatbots on Academic Self-Efficacy and Self-Regulation among University Students. JournalofDevelopmentandSocialSciences, 5, 468-477. https://www.researchgate.net/publication/381551089
[21]
Pacheco-Mendoza, J., Rodríguez-Hernández, R. and Ramírez-Carrillo, D. (2023) The Increase in Study Time in Response to the Need to Adapt to Virtual Environments and Its Impact on Academic Performance. JournalofEducationalTechnology&Society, 26, 45-58.
[22]
Ward, B., Bhati, D., Neha, F. and Guercio, A. (2024) Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance. arXiv: 2412.02166. https://arxiv.org/abs/2412.02166
[23]
Deci, E.L. and Ryan, R.M. (1985) Intrinsic Motivation and Self-Determination in Human Behavior. Springer Science & Business Media.
[24]
Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MISQuarterly, 13, 319-340. https://doi.org/10.2307/249008
[25]
Vallerand, R.J. (1997) Toward a Hierarchical Model of Intrinsic and Extrinsic Motivation. AdvancesinExperimentalSocialPsychology, 29, 271-360. https://doi.org/10.1016/s0065-2601(08)60019-2
[26]
Venkatesh, V. and Davis, F.D. (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. ManagementScience, 46, 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
