Artificial intelligence-assisted scientific writing: A phenomenological analysis of Latin American university teachers
DOI:
https://doi.org/10.31637/epsir-2026-1932Keywords:
Teacher, higher education, artificial intelligence, generative artificial intelligence, scientific research, science writing, educational technology, universityAbstract
Introduction: In the context of university-level research, artificial intelligence represents a highly promising and useful tool that must be applied ethically and responsibly. This study explores the experiences of university professors in their use of artificial intelligence for scientific writing, aiming to understand the meaning and influence of this technology on their academic practices. Methodology: A qualitative method with a phenomenological design was employed. Interviews were conducted with university professors from various Latin American countries. Results: University institutions should adopt a holistic approach that not only emphasizes technological implementation but also addresses the ethical, methodological, and pedagogical implications of artificial intelligence use. Discussions: It is essential to create spaces for dialogue and training, allowing faculty members to exchange experiences and strategies for the effective use of generative artificial intelligence in scientific writing. This ensures that its adoption enhances and enriches the knowledge production process. Conclusions: Generative artificial intelligence is a transformative tool that improves efficiency, accuracy, and productivity in scientific research, especially due to its potential to streamline academic processes and foster a stronger research culture.
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