The Student-Professor Relationship in the Context of Adopting Artificial Intelligence in Research Practices
DOI:
https://doi.org/10.56177/12icmie2025.192Keywords:
artificial intelligence, higher education, academic coordination, innovation, educational change, regulationAbstract
The integration of artificial intelligence (AI) in higher education has an impact on the writing of academic papers and on the student-supervisor relationship. Recent studies highlight the frequent use of AI tools, such as ChatGPT, as support in the academic writing process. The risks related to academic integrity, supervision practices and the need to find a balance between human guidance and technological assistance are presented. The current study tracks how students perceive and use AI tools, the extent to which they influence the interaction with the supervising professors, and opinions related to the advantages, risks and ways to responsibly integrate AI into academic work. The research aims to highlight how AI transforms traditional practices of supervision, feedback and maintaining academic integrity. The study is part of the literature on educational change management, focusing on innovation, regulation and training. The investigation was carried out by applying a structured questionnaire addressed to university students, undergraduate study programs, who are in the final phase of their diploma projects, students with technical and economic training. The questionnaire included seventeen questions regarding the use of AI, the relationship with the coordinating professors, opinions and suggestions of the students regarding the advantages and disadvantages of using AI in relation to traditional consultation.The results show that AI is appreciated for its speed, accessibility and support in developing autonomy, but students continue to consider coordinating professors indispensable for feedback, validation and critical thinking. Participants mentioned the importance of developing clear institutional regulations and introducing training programs dedicated to the responsible use of AI. The current research provides empirical evidence on students' perceptions of the role of AI in academic writing, highlighting both the advantages and disadvantages of its adoption.
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