Analysis reveals generative AI improves personalized learning and student engagement in education.
This paper analyzes the growing impact of artificial intelligence, particularly generative AI, on the educational process. It begins with a brief historical overview, from ancient myths to the emergence of large language models such as GPT-3. The role of machine learning and deep learning is explained, with an emphasis on how these technologies enable AI to support personalized learning, rapid access to information, and the development of self-directed learning skills. The core of the paper is based on the analysis of a questionnaire distributed to students from various faculties, highlighting their perceptions of the usefulness of AI in learning. The results show a positive impact, especially among students in technical fields. The conclusion emphasizes the need for the responsible use of AI and proposes expanding research at the academic level to gain a deeper understanding of its influence on education.
No takes yet. Share an insight, caveat, or question.
Marcu et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: