Authors : Saedah Khader; Madline Khalil

Volume/Issue : Volume 10 - 2025, Issue 12 - December

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DOI : https://doi.org/10.38124/ijisrt/25dec334

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Abstract : Study Abstract Through a thorough examination of their experiences, opinions, and methods for incorporating these technologies into their academic pursuits, this qualitative study seeks to determine the efficacy of artificial intelligence (AI) tools among students in higher education. There is an urgent need for qualitative research that go beyond solely quantitative indicators and concentrate on comprehending the human experience underlying the usage of these technologies, given the growing prominence of generative and analytical AI over the past five years. The. Twelve male and female students from Master's and PhD programs, representing a variety of disciplines, participated in semi-structured interviews as part of the study's qualitative methodology. Thematic analysis was used to examine the data. The study came to several important conclusions, chief among them being that, in addition to its role in increasing students' organizational efficiency, artificial intelligence (AI) efficiently contributes to improving the quality of academic writing, developing analytical skills, and lowering anxiety associated to research work. Conversely, the results revealed concerns related to ethics, over-reliance, and the blurring of students' academic identity. The study also highlighted a clear gap between students' use of technology and the capacity of educational institutions to develop policies regulating that use. A comparison with earlier research (2019– 2025) reveals that the results of this study offer a critical perspective on the psychological and behavioral effects of this use and contribute to a deeper qualitative understanding of the interaction between students and artificial intelligence. This is because most earlier research did not pay as much attention to the deep affective and cognitive aspects. The study's recommendations for creating more equitable educational systems, raising students' ethical consciousness, and creating participatory learning models that use AI as a supplementary rather than a replacement tool are included in its conclusion.

Keywords : Artificial Intelligence, Higher Education, Educational Efficiency, Qualitative Research, Student Experience.

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