Initial representations of educational innovation and technology among mexican doctoral students: an analysis of perceptions and expectations
DOI:
https://doi.org/10.62697/rmiie.v5i4.447Keywords:
Educational innovation, educational technology, advanced trainingAbstract
In a context of educational transformation characterized by the increasing integration of digital technologies, understanding the conceptions and expectations of professionals engaged in advanced training has become essential. This study aimed to analyze the initial representations of Mexican doctoral students regarding educational innovation and technology, based on their prior knowledge and learning interests. A qualitative study was conducted through the analysis of responses to two open-ended questions designed to identify participants’ understanding of these concepts and the knowledge they expected to develop. The information was examined using inductive thematic analysis, from which four main categories emerged: digital competence, pedagogical innovation, professional development, and theoretical and conceptual foundations. The results revealed differences between the doctoral students’ initial knowledge and their educational expectations. While their prior representations focused primarily on the knowledge and use of basic digital tools, their expectations reflected an interest in emerging technologies, innovative pedagogical strategies, and the design of educational environments capable of integrating technology more comprehensively. The findings highlight the need for doctoral education to move beyond the instrumental use of technological resources and promote a critical, pedagogical, and strategic understanding of educational innovation. It is concluded that doctoral programs can be strengthened through the integration of critical thinking, instructional design, digital competence, and pedagogical leadership to prepare professionals capable of responding to the transformations and challenges of contemporary education.
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References
Bardin, L. (2002). Análisis de contenido. Ediciones Akal.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Duarte Cango, A. X., Ortiz Borja, M. D., Manzaba Guerrero, M. J., & Martínez Jaime, G. N. (2025). El impacto negativo del mal uso de las herramientas tecnológicas de la información y la comunicación (TIC) en el aprendizaje. Ciencia Y Educación, 6(10.1), 123 - 134. https://doi.org/10.5281/zenodo.17636382
Fainholc, B., Nervi, H., Romero, R., & Halal, C. (2015). La formación del profesorado y el uso pedagógico de las TIC. Revista De Educación a Distancia (RED), (38). Recuperado a partir de https://revistas.um.es/red/article/view/234081
Fullan, M. (2016). The new meaning of educational change (5th ed.). Teachers College Press.
GAD3 & Empantallados. (2025). Estudio Empantallados I Educar en la era de la IA. . https://www.gad3.com/estudio-empantallados-educacion-en-la-era-de-la-ia/
Januszewski, A., & Molenda, M. (Eds.). (2008). Educational technology: A definition with commentary. Lawrence Erlbaum Associates.
Maldonado-Mariscal, K. (2026). Social innovation in education: Perspectives from Brazil and Mexico. Frontiers in Sociology, 11, Article 1756628. https://doi.org/10.3389/fsoc.2026.1756628
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Organisation for Economic Co-operation and Development. (2020). Back to the future of education: Four OECD scenarios for schooling. OECD Publishing. https://www.oecd.org/content/dam/oecd/en/publications/reports/2020/09/back-to-the-future-of-education_4fa8c90a/178ef527-en.pdf
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2022). Recomendación sobre la ética de la inteligencia artificial. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137_spa
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2021). Reimaginar juntos nuestros futuros: Un nuevo contrato social para la educación. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000379381_spa
Rincón Gaviria, D. C. (2025). Percepciones de los docentes de educación superior de las áreas de Ciencias Sociales y Humanas de la Universidad Pontificia Bolivariana frente al uso de la inteligencia artificial en su práctica docente [Trabajo de maestría, Universidad Pontificia Bolivariana].
Sadri-Damirchi, E. (2026). Educación superior sin fronteras: aprendizaje global y movilidad virtual en proyectos internacionales colaborativos. Sophia Research Review, 3(2), 4-10. https://doi.org/10.64092/5hf99r81
Soria-León, N. G., & Espinoza-Soria, M. J. (2026). Competencias docentes para la educación en línea en el nivel superior. Sophia Editions.
Williamson, B. (2017). Big Data in Education: The Digital Future of Learning, Policy and Practice. SAGE Publications Ltd.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0
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