Emerging Digital Competencies in doctoral training
A case study on curricular and methodological adaptation for artificial intelligence
DOI:
https://doi.org/10.56162/transdigital370Keywords:
digital competencies, artificial intelligence, doctoral education, teaching methodologiesAbstract
This research explored the integration of Emerging Digital Competencies (EDC) in a Biosciences PhD program, with a particular focus on digital technologies. The study focused on the strategies used to incorporate into the curriculum and the teaching and assessment methods. A qualitative approach based on Critical Discourse Analysis was used. In addition, data were collected through interviews and documentary analysis. The research highlighted the importance of CDEs, such as data analysis, bioinformatics, and the use of artificial intelligence in the training of researchers. It is necessary to adapt the curriculum to prepare students for a digitalized environment. Four key competencies were identified: data analysis and biostatistics, bioinformatics techniques, use of digital technologies, and digital ethics. Likewise, it was observed that teaching methods are more flexible, using Project Based Learning and the use of digital platforms for teaching and evaluation. In addition, it was identified that access to technological resources and teacher training are challenges in doctoral programs. On the other hand, the personalization of learning and international collaboration are opportunities to take up. It was concluded that it is essential to continue adapting the curriculum to train competent and ethically aware researchers in the use of advanced technologies.
References
Adham, K. A., Ha, H., Nor, S. M., & Yazid, Z. (2018). Learning to complete the PhD thesis. Issues in Eduational Research, 28(4), 811-829. https://www.iier.org.au/iier28/adham.pdf
Aguirre-Aguilar, G., Veytia-Bucheli, M. G., Barrios-Pérez, E. G., & Amaya-Melgar, S. (2023). Docencia y REA para la formación investigativa. Hacia la definición de nuevos itinerarios de aprendizaje. Revista Latinoamericana de Tecnología Educativa, 22(1), 241–259. https://doi.org/10.17398/1695-288x.22.1.241
Balapala, K. R., Mwanakasale, V., & Chikwanda, D. N. (2023). Being a Competent Doctoral Student: A Reflection. International Journal of Psychological Studies, 15(4), 30. https://doi.org/10.5539/ijps.v15n4p30
Chávez, B. E. (2021). Formación de investigadores en contextos digitales. Actualidades Pedagógicas, 1(77), 13–14. https://doi.org/10.19052/ap.vol1.iss77.7
Crompton, H., & Song, D. (2021). The Potential of Artificial Intelligence in Higher Education. Revista Virtual Universidad Católica del Norte, 62. https://doi.org/10.35575/rvucn.n62a1
Fernandez Fastuca, L. (2024). ¿El doctorado es siempre un trayecto solitario? Estudio de caso de un doctorado que se piensa como comunidad de práctica. Ciencia Docencia y Tecnología, 35(70). https://doi.org/10.33255/3570/1699
Formoso-Rafferty, N., Carro, M. D., Alvir, M. R., & García-Rebollar, P. (2023). Aprendizaje basado en investigación llevado a la práctica en estudiantes de Grado, Máster y Doctorado [Sesión de congreso]. VII Congreso Internacional sobre Aprendizaje, Innovación y Cooperación (CINAIC 2023). Madrid, España. https://doi.org/10.26754/cinaic.2023.0102
Gillham, J., & Schilling, N. V. (2023). Assessing Online Doctoral Student Research Competencies. Impacting Education: Journal on Transforming Professional Practice, 8(4), 34–42. https://doi.org/10.5195/ie.2023.296
Lin, Y., Shi, J., & Zhang, C. (2022). Working Toward Becoming Doctoral Researchers: A Collective Autoethnography of International Students in Australia. Journal of International Students, 12(S2), 68–87. https://doi.org/10.32674/jis.v12is2.4278
Marrs, S. A, Quesada-Pallarès, C, Nicolai, K. D, Severson-Irby, E. A., & Martínez-Fernández, J. R. (2022). Measuring Perceived Research Competence of Junior Researchers. Front. Psychol, 13(834843). https://doi.org/10.3389/fpsyg.2022.834843
Martins, H., Freitas, A., Direito, I., & Salgado, A. (2021). Engineering the future: transversal skills in Engineering Doctoral Education [Sesión de congreso]. 2021 4th International Conference of the Portuguese Society for Engineering Education (CISPEE). Lisbon, Portugal. https://doi.org/10.1109/cispee47794.2021.9507210
Matos Columbié, Z. de la C., Pastrana Corral, S. A., & Matos Columbié, C. (2019). La formación doctoral y su impacto académico-social en el desarrollo local. (1), 28–33. https://doi.org/10.46588/invurnus.v14i1.20
Miracchi, L. (2019). A competence framework for artificial intelligence research. Philosophical Psychology, 32(5), 588–633. https://doi.org/10.1080/09515089.2019.1607692
Moreno Mosquera, E. (2016). El análisis crítico del discurso en el escenario educativo. Zona Próxima, (25), 129-148.
Núñez, J. (2019). Análisis crítico del discurso como metodología de comprensión de las ideologías. (4), 505–521. https://orcid.org/0000-0003-1946-2689
Pardo Abril, N. G. (2013). Cómo hacer análisis crítico del discurso. Una perspectiva latinoamericana. Universidad Nacional de Colombia.
Piedra-Castro, W. I., Burbano-Buñay, E. S., Tamayo-Verdezoto, J. J., & Moreira-Alcívar, E. F. (2024). Inteligencia artificial y su incidencia en la estrategia metodológica de aprendizaje basado en investigación. Journal of Economic and Social Science Research, 4(2), 178–196. https://doi.org/10.55813/gaea/jessr/v4/n2/106
Quintas, J. E., Ramírez-Montoya, M. S., & Kabalen, D. M. (2017). Competencias de investigación e innovación en formación docente con Aprendizaje Basado en Investigación (ABI) [Sesión de congreso]. 4o. Congreso Internacional de Innovación Educativa. Monterrey, México. https://repositorio.tec.mx/handle/11285/627962
George Reyes, N. G., & Salado Rodríguez, L. I. (2019). Competencias investigativas con el uso de las TIC en estudiantes de doctorado. (1). https://doi.org/10.32870/ap.v11n1.1387
Roulston, K., Preissle, J., & Freeman, M. (2013). Becoming researchers: doctoral students’ developmental processes. International Journal of Research & Method in Education, 36(3), 252–267. https://doi.org/10.1080/1743727x.2013.806469
Sánchez-Macías, A., & Veytia-Bucheli, M. G. (2019). Las competencias digitales en estudiantes de doctorado. Un estudio en dos universidades mexicanas. Academia y Virtualidad, 12(1), 7–30. https://doi.org/10.18359/ravi.3618
Storey, V. A. (2023). AI Technology and Academic Writing. International Journal of Adult Education and Technology (IJAET), 14(1), 1–15. https://doi.org/10.4018/ijaet.325795
Torres-Rivera, A. D., Badillo-Gaona, M., Valentin-Kajatt, N. O., & Ramírez-Martínez, E. T. (2014). Las competencias docentes: el desafío de la educación superior. Innovación Educativa, 14(66), 129–145.
UdeG. (2023a). Doctorado en Biociencias. Página web oficial de la Universidad de Guadalajara. https://www.udg.mx/es/oferta-academica/doctorado-en-biociencias
UdeG. (2023b). Orientaciones y definiciones sobre el uso de la Inteligencia Artificial generativa en los procesos académicos. Página web oficial de la Universidad de Guadalajara. https://www.udgvirtual.udg.mx/Guia-IA-UDG
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