Posibilidades y límites de la inteligencia artificial en el desarrollo de investigaciones en una universidad privada 2024
Possibilities and Limitations of Artificial Intelligence in the Development of Research in a Private University In 2024.
DOI:
https://doi.org/10.47058/joa13.4Keywords:
Artificial intelligence, Higher Education, thesis proposals, theses, private universityAbstract
This qualitative case study explored the possibilities and limitations of artificial intelligence (AI) in undergraduate research development processes at a private university during 2024. The objectives were to understand how students and faculty perceive and utilize AI in their research, identify benefits and challenges associated with its implementation, and propose recommendations for optimizing its use. The methodology consisted of a single case study with four participants selected through convenience sampling, utilizing semi-structured interviews with students and faculty (40 minutes each), along with documentary analysis of thesis plans and final projects. Results suggest that AI offers various possibilities including idea generation, information searching, and task automation. However, limitations were identified regarding the quality of generated data, lack of skills for critically evaluating information, and the need for faculty supervision. Findings reveal that while AI tools can be useful for generating initial ideas and improving formal aspects of academic work, excessive use may limit students' capacity to develop original topics, inhibit critical thinking, and generate technological dependence. Results indicate the need to find balance between leveraging AI advantages and developing higher-order cognitive skills, suggesting that implementation should be complementary rather than substitutive to traditional research processes, requiring adequate faculty and institutional training. The study concludes that strategic AI integration in undergraduate research demands establishing ethical frameworks, developing critical competencies, and promoting equilibrium between technological utilization and autonomous thinking development.
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