The Impact of AI on the Academic Achievement of Undergraduate Students - An Experimental Study

Background/purpose. This study explores the use of Artificial Intelligence (AI) technology on college academic outcomes among students in the College of Humanities and Sciences at a large research university in the United Arab Emirates, focusing on students taking a sociology course. With the growing incorporation of AI in educational settings, its ability to improve student learning results, engagement levels, and overall efficiency has garnered significant interest. Nevertheless, empirical research linking students' views on AI to quantifiable academic achievement remains scarce, especially in the social sciences.

Materials/methods. This study employed a quasi-experimental quantitative design to examine the impact of generative Artificial Intelligence (AI) on undergraduate students' academic achievement.

Results. The findings suggest that perceived GPA Improvement is the most significant factor, indicating that students who see a measurable enhancement in their academic outcomes tend to have a more favorable view of AI.

Conclusion. This research provides evidence that the use of artificial intelligence (AI) tools can markedly improve university students' academic success, particularly in course comprehension and exam preparation.

Keywords: Artificial intelligence, Academic achievement, Experimental group, Pre-test, Post-test, higher education, student.

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