Teachers' conceptions about the use of AI in higher education. An intergenerational perspective
DOI:
https://doi.org/10.31637/epsir-2026-2728Keywords:
Artificial intelligence, higher education, teachers’ conceptions, intergenerational perspective, technology acceptance, digital self-efficacy, thematic analysis, digital governanceAbstract
Introduction: The use of artificial intelligence (AI) in higher education presents opportunities and challenges that make it necessary to understand how teachers from different generations construct their perceptions of this technology. The objective was to interpret how these conceptions are constructed and transformed from an intergenerational perspective. Methodology: A sequential explanatory mixed-methods design was applied with 55 teachers in the quantitative phase and 12 in the qualitative phase. Data were collected through a technology acceptance questionnaire and semi-structured interviews, which were analyzed using thematic analysis. Results: Quantitative findings revealed high levels of technology acceptance and significant associations between technological proficiency, age, professional experience, and sex. Younger teachers reported greater digital familiarity, whereas older teachers presented more heterogeneous profiles. The qualitative analysis identified four categories: personal and professional factors, pedagogical perceptions, professional uses of AI, and ethical and institutional challenges. Discussions: Teachers’ conceptions are characterized by moderate openness toward AI, accompanied by concerns related to academic integrity, loss of critical thinking, and structural conditions that influence its implementation. Technological self-efficacy and professional trajectory emerge as key modulators. Conclusions: The adoption of AI depends on the interaction between individual and institutional factors.
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Adolf, V., Yanova, M., Olentsova, J. y Zaitseva, M. (2022). Monitoring of Children’s Independent Work in the System of Additional Education Using Digital Technologies. 2647, 50017. https://doi.org/10.1063/5.0104764
Alsina, Á. y Vásquez, C. (2025). Professional development and teacher agency in Mathematics Teacher Education for Sustainability. Mathematics Education Research Journal, 37(2), 215-238. https://doi.org/10.1007/s13394-024-00488-y
Armas-Alba, L. y Alonso-Rodríguez, I. (2022). Las TIC y competencia digital en la respuesta a las necesidades educativas especiales durante la pandemia: Una revisión sistemática. Revista internacional de pedagogía e innovación educativa, 2(1), 11-48. https://doi.org/10.51660/ripie.v2i1.58
Becerra, I. (2020). Traits and trends of Teaching with ICT: Challenges from the new ecology of learning. Estudios Pedagógicos (Valdivia), 46(2), 215-229. https://doi.org/qw44
Campuzano, M. (2023). Efectos de la supervisión escolar sobre la calidad educativa en primaria y secundaria: Una revisión sistemática. Revista Electrónica de Investigación Educativa, 25, 1-14. https://doi.org/10.24320/redie.2023.25.e16.4538
Cardona-Valencia, D. y Betancur, F. (2023). Modelo de aceptación tecnológica (TAM): Un estudio de la percepción docente sobre el uso de juegos serios en la educación superior. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje, 18(1), 123-129. https://doi.org/10.1109/RITA.2023.3250586
Chao-Rebolledo, C. y Rivera-Navarro, M. (2024). Usos y percepciones de herramientas de inteligencia artificial en la educación superior en México. Revista Iberoamericana de Educación, 95(1), 57-72. https://doi.org/10.35362/rie9516259
Hernández-Sampieri, R. y Mendoza, C. (2020). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta (Sexta). Editorial Mc Graw Hill Education. https://doi.org/10.22201/fesc.20072236e.2019.10.18.6
Kasani, P., Cho, K., Jang, J. y Yun, C. (2024). Influence of artificial intelligence and chatbots on research integrity and publication ethics. Science Editing, 11(1), 12-25. https://doi.org/10.6087/kcse.323
Kim, J., Lee, K., Kim, W., Jeong, N., Kim, J. y Song, H. (2024). Empathetic Pedagogical Agent: Mitigating Harmful Effects of Negative Feedback Through Self-Disclosure. International Journal of Human-Computer Interaction, 41(15), 9366-9383. https://doi.org/10.1080/10447318.2024.2425881
Kim, S. (2024). Development of a TPACK Educational Program to Enhance Pre-service Teachers’ Teaching Expertise in Artificial Intelligence Convergence Education. International Journal on Advanced Science, Engineering and Information Technology, 14(1), 1-9. https://doi.org/10.18517/ijaseit.14.1.19552
Lim, W. (2025). What Is Qualitative Research? An Overview and Guidelines. Australasian Marketing Journal, 33(2), 199-229. https://doi.org/10.1177/14413582241264619
Tomalá-De La Cruz, M., Mascaró-Benites, E., Carrasco-Cachinelli, C. y Aroni-Caicedo, E. (2023). Incidencias de la inteligencia artificial en la educación. Revista científica de la investigación y el conocimiento, 7(2), 238-251. https://doi.org/10.26820/recimundo/7.(2).jun.2023.238-251
Türkırkı, M., Akkaya, E., Kaysı, B., Darıcı, E. y Sayılan, G. (2025). Thematic and sentiment analysis on X: a multi-method approach to examine the refugee crisis in Türkiye. International Journal of Social Psychology: Revista de Psicología Social, 40(3), 284-313. https://doi.org/10.1177/02134748251348348
Wang, C., Li, X., Liang, Z., Sheng, Y., Zhao, Q. y Chen, S. (2024). The Roles of Social Perception and AI Anxiety in Individuals’ Attitudes Toward ChatGPT in Education. International Journal of Human-Computer Interaction, 41(9), 5713-5730. https://doi.org/10.1080/10447318.2024.2365453
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Copyright (c) 2026 Danny Delgado-Togra, Grethy Quezada-Lozano

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