A Systematized Experience: Artificial Intelligence, Ally in Teaching or Threat to the Future?
DOI:
https://doi.org/10.5281/zenodo.11254519Keywords:
Machine learning, autoethnography, autobiography, education, ethics, artificial intelligenceAbstract
Introduction: This article presents an autobiographical case study that systematizes the personal experience of the author while interacting daily with various artificial intelligence (AI) tools in an educational context between November 2022 and February 2024. Method: Through an in-depth autoethnographic analysis of detailed logs, it examines the motivations, learnings, benefits, ethical dilemmas, and projections that have emerged around the use of these emerging technologies. Results: As key findings, it highlights the great potential of AI to develop skills and optimize tasks, but also the need to foster critical thinking in the face of possible biases. At the same time, it reveals the importance of curiosity, creativity, and a robust ethical framework for responsible implementation. Among the identified dilemmas are equity in access, privacy challenges, and the risks of technological over-dependence. Conclusions: While the results are intrinsic, they invite us to maximize the educational benefits of AI by mitigating risks through clear regulations and ethical development of these technologies.
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References
Chang, H. (2016). Autoethnography in health research: Growing pains? Qualitative Health Research, 26(4), 443–451. https://doi.org/10.1177/1049732315627432
Chaturvedi, I., Cambria, E. y Welsch, R. (2023). Simulaciones didácticas apoyadas en Inteligencia Artificial en el mundo real. Ciencias de la Educación. https://doi.org/10.3390/educsci13020187
Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: An Overview. Historical Social Research / Historische Sozialforschung, 36(4 (138)), 273–290. http://www.jstor.org/stable/23032294
Ellis, Carolyn y BOCHNER, Arthur P. (2006). "Analizando la autoetnografía analítica: Una autopsia". Journal of Contemporary Ethnography, 35(4), 429-449.
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Madhu Srikumar. (2020). Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. Social Science Research Network. https://doi.org/10.2139/ssrn.3518482
Hernández, F., Sancho, J. M., Creus, A., y Montané, A. (2010). Becoming university scholars: Inside professional autoethnographies. Journal of Research Practice, 6(1), 1-15.
La Rosa, J. (2010). Autobiografía y sistematización de experiencias: una propuesta metodológica. Revista de Investigación Social, 8(14), 295-308.
La Rosa, J. (2010). La experiencia y la investigación educativa. In Investigación cualitativa: Epistemologías, metodologías y aplicaciones (pp. 127-154). Editorial Digital UNLP.
Roman-Acosta, D., Rodríguez Torres, E., Baquedano Montoya, M. B., López Zavala, L. C., & Pérez Gamboa, A. J. (2024). ChatGPT y su uso para perfeccionar la escritura académica en educandos de posgrado. Praxis Pedagógica, 24(36), 53–75. Recuperado a partir de https://revistas.uniminuto.edu/index.php/praxis/article/view/3536
Manuel, L., Antonio, J., & Josefina, M. (2024). Proceso de evaluación virtual de los aprendizajes en el área de las matemáticas. Revista Científica UIsrael, 11(1), 83–98. https://doi.org/10.35290/rcui.v11n1.2023.994
Strauss, A., & Corbin, J. (2002). Bases de la investigación cualitativa. Técnicas y procedimientos para desarrollar la teoría fundamentada. Medellín: Universidad de Antioquia.
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Copyright (c) 2024 Luis José Gómez Loero
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