International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Methodological Proposal to Integrate the Responsible Use of Generative AI into Teaching-Learning Process of TecNM / ITSJR

Author(s) Rocio Guadalupe Zozaya Salas, Ariopajita Rojo-López, GuadalupeFlores-Díaz, Brandon Ismael Trejo-Hernández
Country Mexico
Abstract Digitalization has profoundly transformed teaching and learning processes in higher education. In this context, artificial intelligence (AI) is emerging as a disruptive innovation, from automatic content generation to personalized learning. However, its adoption lacks a framework to guide its pedagogical and ethical use, opening up risks of plagiarism, misinformation and technological dependence. [6]
This article presents a methodological proposal for integrating AI in an ethical and pedagogical manner, developed from a quantitative study with faculty and students at the Tecnológico Nacional de México (TecNM) /Instituto Tecnológico de San Juan del Río (ITSJR). Structured surveys were administered to measure ethical perception, academic performance, and responsible use of AI. The sample included the careers of: Computer Systems Engineering, Information and Communications Technologies, and Business and Industrial Management. The proposed methodology, CLASES, is organized into six stages: Context, Limits, Activity, Monitoring, Evaluation, and Improvement System; it is compact, practical, and applicable.
Keywords Generative Artificial Intelligence, Higher Education, Responsible AI Use, Ethics and Academic Integrity, CLASES Methodology
Field Sociology > Education
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-29
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.58609
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E-ISSN 2582-2160
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