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The Impact of Artificial Intelligence on the Educational Process of University Students

Abstract:

Artificial intelligence (AI) has become an increasingly common tool in university education, both for creating educational content and for theoretical and practical evaluation during the educational process of students. This research aimed to analyze the use of AI in the educational process of university students in the Faculty of Education Sciences. The study was descriptive, supported by a quantitative approach with a non-experimental, cross-sectional design to determine the impact of artificial intelligence on the educational process of university students. Theoretical methods, such as analysis-synthesis and deductive-inductive approaches, were used for the information coding process. Empirical level methods, including content analysis techniques, scientific observation, and surveys through a structured questionnaire validated by experts in the field, were also utilized. The research identified challenges in the educational field related to AI integration, such as the limited development of investigative skills, lack of critical and analytical reasoning, and concerns about the quality of information provided by AI tools. Despite significant benefits like rapid task completion, there is also a potential for excessive dependence on AI. The study recommends developing or implementing training programs and workshops to effectively use AI tools, emphasizing navigation on platforms and understanding their pros and cons. Balancing convenience with critical thinking remains crucial, emphasizing the need to avoid exclusive reliance on AI in the learning process.