Artificial Intelligence in Teacher Training: Student Perceptions, Curricular Gaps, and Pedagogical Challenges with ChatGPT
DOI:
https://doi.org/10.17561/ae.v27n1.9623Keywords:
Artificial Intelligence, teachers, higher education, perceptions, chatgptAbstract
This study analyzes the perceptions of undergraduate students in Early Childhood and Primary Education regarding the use of ChatGPT in academic activities, highlighting its benefits, limitations, and ethical considerations. Using a validated questionnaire, three key dimensions were evaluated: perceived usefulness, academic impact, and ethical risks. The results reveal an ambivalent stance toward ChatGPT: while a considerable portion of students considers it useful, a majority expresses skepticism, especially regarding its capacity to improve research skills. Differences by gender and degree program are also significant; men and students with ICT specializations show greater openness, while those in Primary Education and Catholic Theology demonstrate greater ethical distrust. Additionally, a critical profile was identified composed of users who express higher levels of technophobia. This work underscores the need to update educational curricula to integrate critical digital competencies and promote ethical and reflective use of education.
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References
Alonso-Arévalo, J. (2024). Integridad académica en la era de la Inteligencia Artificial Generativa (IAG). Desiderata, 24, 72-82. http://eprints.rclis.org/45979/
Area-Moreira, M. (2025). Luces y sombras de la IA en la educación superior. Didáctica para el pensamiento crítico. RIULL Repositorio Institucional de la Universidad de La Laguna, España URI http://riull.ull.es/xmlui/handle/915/40470
Bolarinwa, O. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. The Nigerian Postgraduate Medical Journal, 22, 195-201. https://doi.org/10.4103/1117-1936.173959
Bravo Clavijo, J. L., García Barberán, F. K., Maliza Muñoz, W. F., & Gómez-Rodríguez, V. G. (2024). ChatGPT como recurso de asistencia en la gestión pedagógica. Código Científico Revista de Investigación, 5(E4), 338–351. https://doi.org/10.55813/gaea/ccri/v5/nE4/497
Del Cisne Loján, M., Antonio Romero, J., Sancho Aguilera, D., & Yajaira Romero, A. (2024). Consecuencias de la Dependencia de la Inteligencia Artificial en Habilidades Críticas y Aprendizaje Autónomo en los Estudiantes. Ciencia Latina Revista Científica Multidisciplinar, 8(2), 2368-2382. https://doi.org/10.37811/cl_rcm.v8i2.10678
Delatorre.Ai. (2024a). Carnegie Learning: Innovación en la Tutoría Inteligente Adaptativa. Delatorre.ai. https://delatorre.ai/carnegie-learning-innovacion-en-la-tutoria-inteligente-adaptativa/
Delatorre.Ai. (2024b). Maximizando la educación con Eduaide.ai: la revolución de la IA en la educación. delatorre.ai. https://delatorre.ai/maximizando-la-educacion-con-eduaide-ai-la-revolucion-de-la-ia-en-la-educacion/
Dempere, J., Modugu, K.P., Hesham, A., & Ramasamy, L. (2023). The impact of ChatGPT on higher education. Frontiers Education, 8, e1206936. https://doi.org/10.3389/feduc.2023.1206936
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
Fontán de Bedout, L., Lovato Sagrado, A., Matta, A. A., & Ortega González, E. (2025). Tecno-imaginarios de la inteligencia artificial sobre la identidad docente: un estudio exploratorio. Profesorado, Revista de Currículum y Formación del Profesorado, 29(1), 197–220. https://doi.org/10.30827/profesorado.v29i1.30861
García Sánchez, O. V. (2023). Uso y percepción de ChatGPT en educación superior: brechas formativas e implicaciones éticas. Revista Española de Pedagogía, 11(23), 98–107. https://doi.org/10.36825/RITI.11.23.009
Gotoman, J. E. J., Luna, H. L. T., Sangria, J. C. S., Santiago Jr., C. S., & Barbuco, D. D. (2025). Accuracy and reliability of AI-Generated text detection tools: a literature review. American Journal of IR 4.0 and Beyond, 4(1), 1–9. https://doi.org/10.54536/ajirb.v4i1.3795
INTEF (2025). Plan Digital Educativo 2025: Competencias docentes en IA. Ministerio de Educación. https://www.educacionyfp.gob.es/plan-digital
Lago Ávila, M. J., & Pérez Hurtado, M. (2024). La IA en la educación superior: Formando profesionales más competitivos y empleables. European Public & Social Innovation Review, 9, 1–21. https://doi.org/10.31637/epsir-2024-859
Luckin, R., Holmes, W., Griffiths, M. & Forcier, L. B. (2016). Intelligence Unleashed: An argument for AI in Education. Pearson.
Mora-Cantallops, M., Inamorato, D. S. A., Villalonga-Gómez, C., Lacalle, R. J. R., Camarillo, C. J., Sota, E. J. M., Velasco, J. R., & Ruiz, M. P. M. (2022). Competencias digitales del profesorado universitario en España: Un estudio basado en los marcos europeos DigCompEdu y OpenEdu. JRC Publications Repository. https://doi.org/10.2760/541915
OpenAI (2023). ChatGPT: Technical report. https://arxiv.org/abs/2303.08774
Rivera, D. R. (2025). Educación superior e inteligencia artificial en 2025. VínculoTIC. https://vinculotic.com/educacion/inteligencia-artificial-en-2025/
Sanz Manzanedo, M. (2024). Formación del profesorado de ELE: instrumentos digitales y Chat GPT para la producción escrita y oral en español. En Barrientos-Báez, A., Caldevilla Domínguez, D. y Sierra Sánchez, J., Inteligencia Artificial ¿amiga o enemiga? (pp. 367-378). Peter Lang.
Saquisari Pillajo, A. P. (2024). Metacognición digital: autorregulación del aprendizaje mediante IA. Nexus Research Journal, 3(2), 132–145. https://doi.org/10.62943/nrj.v3n2.2024.129
Soler, S., & Rosser, P. (2024). Transformando la educación a través de la inteligencia artificial: Cómo despertar el interés de los estudiantes en la historia y promover la igualdad de género. En Bandrés-Goldáraz, E. (coord.), Desafíos de género en la educación, cultura y sociedad: un análisis multidimensional (pp. 154-172). Dykinson.
Sok, S., & Heng, K. (2023). ChatGPT for Education and Research: A Review of Benefits and Risks. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4378735
Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 32(9), 5142–5155. https://doi.org/10.1080/10494820.2023.2209881
UNESCO. (2022). Recomendación sobre la ética de la inteligencia artificial. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137_spa
UNIR. (2023). Declaración UNIR para un uso ético de la Inteligencia Artificial en Educación Superior. Proeduca. https://doi.org/10.5281/zenodo.10686437
Universidad de Murcia. (2025). El futuro de la educación superior: ChatGPT y la Inteligencia Artificial en la mira de la Universidad de Murcia. ATICA. https://www.um.es/web/atica/-/jornada-reflexion-chatgpt
Vallejo, A., & Gonzalez, A. (2023). La aplicación de la inteligencia artificial en educación: una reflexión crítica sobre su potencial transformador. Blog del Aula Cavila. https://blogs.ead.unlp.edu.ar/boletinaulacavila/2023/02/27/la-aplicacion-de-la-inteligenciaartificial-en-educacion-una-reflexion-critica-sobre-su-potencial-transformador/
Wang, C., Wang, Y., & Zou, B. (2024). Revolutionising EFL pedagogy: Innovative strategies for integrating GAI (ChatGPT) into language teaching. Journal of Language Teaching, 4(1), 1-7. https://doi.org/10.54475/jlt.2024.004
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