Transforming Higher Education: Artificial Intelligence in the Training and Monitoring of University Students.

Friday, 11 July 2025: 15:30
Location: SJES029 (Faculty of Legal, Economic, and Social Sciences (JES))
Oral Presentation
Edgar VAZQUEZ GONZALEZ, University of Guanajuato, Mexico
The latest generation of technologies, including artificial intelligence, the internet of things, robotics, and nanotechnology, among others, are one of the sources of the great transformations in organizations and society. In the contemporary era, it is increasingly challenging for a company or institution to survive if it does not adopt any of the technologies. Higher education institutions are well-versed in the utilization of novel technologies, serving as both pioneers and advocates for innovation through their various core functions, including teaching, research, and extension. The objective of this study is to examine the role of artificial intelligence (AI) in the context of teaching and learning, as well as in the planning and monitoring of university students academic trajectories. This analysis aims to identify the factors and potential risks associated with the use of AI in these areas. The study performs a comprehensive analysis of the literature on the central concepts of the research project, with the objective of elucidating the significance of AI in the educational processes and monitoring of the academic trajectories of university students. This permitted the creation of an instrument to be utilized with students at a higher education institution, with the objective of identifying the factors and potential conflicts associated with the integration of technology in the educational process of the subject under study. This study employs a qualitative research methodology. Ultimately, the objective is to identify the factors that facilitate the integration of AI in student training, which are often constrained by limitations in human, technical, and financial resources. This results in inadequate monitoring of student progress, as well as the potential risks associated with AI utilization. This study aims to serve as a reference point for research on student trajectories and support systems.