Generative artificial inteligence impact on higher education: a comparative analysis
DOI:
https://doi.org/10.5377/recoso.v7i12.19650Keywords:
Generative artificial intelligence, adoption, faculty, ethical concerns, training programsAbstract
This research, carried out in 2023 with students and faculty from the Faculty of Sciences and Systems at the National University of Engineering, explores the adoption and perception of generative artificial intelligence (GAI) in the academic field. The results reveal a significant gap in the use of these tools, with 94% of students and only 7% of faculty reporting their use. Students
perceive GAI as facilitators of learning, while faculty express ethical and technical concerns related mainly to the authenticity of student work and the adaptation of their evaluation methods. To address this gap, it is recommended to implement faculty training programs, promote equitable access to GAI, and develop clear guidelines on its ethical use within the faculty. These actions will contribute to the effective integration of GAI in engineering education,
improving the quality of teaching and learning.
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