THE SILENT REVOLUTION: IMPACT OF ARTIFICIAL INTELLIGENCE ON THE FUTURE OF EDUCATION

Authors

  • Marino Hernández Chanchi
  • Uriel Monsalve Daz

DOI:

https://doi.org/10.56219/dialctica.v1i26.4379

Keywords:

teacher training, educational ethics, personalized education, artificial intelligence, technology

Abstract

In the article "The Silent Revolution: The Impact of Artificial Intelligence on the Future of Education", a reflection is made on how Artificial Intelligence (AI) has driven changes in the education sector, whether of a pedagogical or administrative nature. The article analyzes the benefits, challenges, and risks associated with the use of this innovative tool, as well as the requirements that must be met for it to be integrated ethically and effectively into pedagogical practices. With this in mind, a documentary review was conducted using academic platforms such as Dialnet, Scielo, Redalyc, Google Scholar, and the academic repositories of Higher Education Institutions that may have projects related to this topic. Thanks to this, it was possible to determine that AI is particularly useful when it comes to automating processes such as administrative and follow-up tasks, allowing teachers to focus their efforts on pedagogical interaction with their students. However, significant challenges and risks were also identified, such as the dehumanization of education, technological dependency, and the lack of guarantees in data protection. Likewise, it was acknowledged that, although AI can represent a huge opportunity to increase equity in education, it can also have the opposite effect, considering that there are regions where the population does not have access to connectivity services. It is recognized that AI is a strategic tool that offers great benefits to the education sector, but in order to achieve its full integration, planned measures must be adopted to mitigate risks and seize opportunities. 

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Author Biographies

Marino Hernández Chanchi

Institución Educativa 

IER El Zafiro. SED Putumayo, 

Colombia 

Uriel Monsalve Daz

Institución Educativa 

Integrado Sogamoso, Boyacá, 

Colombia 

References

Alicia, C. (2023). Un viaje hacia la inteligencia artificial en la educación. Realidad y Reflexión (56), 121-136. https://doi.org/https://doi.org/10.5377/ryr.v1i56.15776 DOI: https://doi.org/10.5377/ryr.v1i56.15776

Allaoua, S., Ashfaq, H., Alsuhibany, S., Shorfuzzaman, M., Alsufyani, A., Jalal, A., & Park, J. (2023). Real objects understanding using 3D haptic virtual reality for e-learning education. Computers, Materials & Continua, 74(1), 1607-1624. https://doi.org/https://www.techscience.com/cmc/v74n1/49847 DOI: https://doi.org/10.32604/cmc.2023.032245

Almaraz, C., Menéndez, F., & López, C. (2023). Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence. Education Sciences, 13(6), 609-613. https://doi.org/https://www.mdpi.com/2227-7102/13/6/609 DOI: https://doi.org/10.3390/educsci13060609

Angulo, F. (2016). Las justicias de la escuela pública. Revista Interuniversitaria de Formación del Profesorado, 85(1), 37-47.

Arce, C. (2022). Desafíos para la ciudadanía y el sistema de derechos fundamentales en la era digital. Derechos y Libertades(46), 241-272. https://doi.org/https://doi.org/10.20318/dyl.2022.6520 DOI: https://doi.org/10.20318/dyl.2022.6520

Baillifard, A., Gabella, M., Banta, P., & Martarelli, C. (2023). Implementing Learning Principles with a Personal AI Tutor: A Case Study. https://arxiv.org/abs/2309.13060

Beltrán, I. (2023). La competencia digital en los docentes de Educación Inicial para la enseñanza de la lectura en los niños y niñas Del Centro Educativo Rural Carmen de Tonchalá, Cúcuta, Norte de Santander. Cúcuta: Universidad de Santander. https://repositorio.udes.edu.co/server/api/core/bitstreams/b3b15937-6986-4ddb-a7c5-c75d3e7a2644/content

Bonam, B., Piazentin, L., & Possa, A. (2020). Educación, big data e inteligencia artificial. Metodologías mixtas en plataformas digitales. Comunicar: Revista Científica de Comunicación y Educación(65), 43-52. https://doi.org/https://dialnet.unirioja.es/servlet/articulo?codigo=7555368 DOI: https://doi.org/10.3916/C65-2020-04

Brognara, R. (2022). Cómo piensan los algoritmos de marketing: La eficacia en el marketing programático. ESIC .



Cernadas, E., & Calvo, E. (2022). Perspectiva de género en inteligencia artificial, una necesidad Cuestiones de género. De la Igualdad y la Diferencia(17), 111-127. https://doi.org/https://revpubli.unileon.es/ojs/index.php/cuestionesdegenero/article/view/7200 DOI: https://doi.org/10.18002/cg.i17.7200

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9069875 DOI: https://doi.org/10.1109/ACCESS.2020.2988510

Chen, X., Xie, H., Zou, D., & Hwang, G. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1-20. https://doi.org/https://doi.org/10.1016/j.caeai.2020.100002 DOI: https://doi.org/10.1016/j.caeai.2020.100002

Consejo Directivo Central de la Administración Nacional de Educación Pública (CODICEN). (2016). Propuesta para un sistema de protección de trayectorias educativas. CODICEN.

Cordón, O. (2023). Inteligencia Artificial en Educación Superior: Oportunidades y Riesgos. RiiTE Revista interuniversitaria de investigación en Tecnología Educativa(15), 16–27. https://doi.org/https://doi.org/10.6018/riite.591581 DOI: https://doi.org/10.6018/riite.591581

Dellepiane, P., & Guidi, P. (2023). La inteligencia artificial y la educación. Retos y oportunidades desde una perspectiva ética. Question, 76(3), 1–18. https://doi.org/https://sedici.unlp.edu.ar/handle/10915/166742 DOI: https://doi.org/10.24215/16696581e859

Dennis, J. (2023). Personalized Learning: How AI Is Shaping the Future of Education. BairesDev. : https://www.bairesdev.com/blog/ai-and-the-future-of-education

Dong, Y. (2022). Application of artificial intelligence software based on semantic web technology in english learning and teaching. Journal of Internet Technology, 23(1), 143-152. https://doi.org/https://doi.org/10.53106/160792642022012301015 DOI: https://doi.org/10.53106/160792642022012301015

eCampus News. (2024). Critical thinking in the digital age of AI: Information literacy is key. https://www.ecampusnews.com/ai-in-education/2024/08/20/critical-thinking-in-the-digital-age-of-ai-information-literacy-is-key/

Flores, J., & García, F. (2023). Reflexiones sobre la ética, potencialidades y retos de la Inteligencia Artificial en el marco de la Educación de Calidad (ODS4). Comunicar(74), 37-47. https://doi.org/https://doi.org/10.3916/C74-2023-03 DOI: https://doi.org/10.3916/C74-2023-03

Goenechea, C., & Valero, C. (2024). Educación e Inteligencia Artificial. Un Análisis desde la Perspectiva de los Docentes en Formación. REICE: Revista Iberoamericana sobre Calidad, Eficacia y Cambio en Educación, 22(2), 33–50. https://doi.org/https://dialnet.unirioja.es/servlet/articulo?codigo=9418984 DOI: https://doi.org/10.15366/reice2024.22.2.002

Ho, M., Le, N., Mantello, P., Ho, M., & Ghotbi, N. (2023). Understanding the acceptance of emotional artificial intelligence in apanese healthcare system: A cross-sectional survey of clinic visitors’ attitude. Technology in Society (72), 1-35. https://doi.org/https://www.sciencedirect.com/science/article/abs/pii/S0160791X22003074?via%3Dihub DOI: https://doi.org/10.1016/j.techsoc.2022.102166

Hort, M., Moussa, R., & Sarro, F. (2023). Multi-objective search for gender-fair and semantically correct word embeddings. Applied Soft Computing ((133), 109916-109916. https://doi.org/https://doi.org/10.1016/j.asoc.2022.109916 DOI: https://doi.org/10.1016/j.asoc.2022.109916

Hu, Y., FM, J., & Yeh, H. (2023). Developing an early-warning system through robotic process automation: Are intelligent tutoring robots as effective as human teachers? . Interactive Learning Environments, 2803-2816. https://doi.org/https://www.tandfonline.com/doi/full/10.1080/10494820.2022.2160467 DOI: https://doi.org/10.1080/10494820.2022.2160467

Human Rights Watch. (2022). How dare they peep into my private life? Children’s rights violations by governments that endorsed online learning during the COVID-19 pandemic. Human Rights Watch.

Jara, I., & Ochoa, J. (2020). Usos y efectos de la IA en educación. BID.

Kahraman, H., Sagiroglu, S., & Colak, I. (2010). Development of adaptive and intelligent web-based educational systems. 2010 4th International Conference on Application of Information and Communication Technologies, Tashkent, Uzbekistan, 1-5. https://doi.org/10.1109/ICAICT.2010.5612054 DOI: https://doi.org/10.1109/ICAICT.2010.5612054

Kamalov, F., Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, 15(16), 1–27. https://doi.org/https://www.mdpi.com/2071-1050/15/16/12451 DOI: https://doi.org/10.3390/su151612451

Lu, L., & Harris, L. (2018). Artificial intelligence (AI) and education. Focus.





Macías, R., Solorzano, L., Choez, C., & Blandón, B. (2023). La inteligencia artificial; análisis del presente y futuro en la educación superior. Revista Científica Multidisciplinar G-Nerando, 4(1), 1-27. https://doi.org/https://revista.gnerando.org/revista/index.php/RCMG/article/view/98

Martínez, M., Rigueira, X., Larrañaga, A., Martínez, J., Ocarranza, I., & Kreibel, D. (2023). Impacto de la inteligencia artificial en los métodos de evaluación en la educación primaria y secundaria: revisión sistemática de la literatura. Revista de Psicodidáctica, 28(2), 93-103. https://doi.org/https://doi.org/10.1016/j.psicod.2023.06.001 DOI: https://doi.org/10.1016/j.psicod.2023.06.001

Norman, E. (2024). Inteligencia artificial al servicio de la pedagogía: potenciando la creatividad y el pensamiento crítico. Panaroma, 18(34), 1–13. https://doi.org/https://www.redalyc.org/journal/3439/343977238002/html/ DOI: https://doi.org/10.15765/k3r9jd72

Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO). (2019). Artificial intelligence in education: challenges and opportunities for sustainable development. Working Papers on Education Policy, 7(46). https://doi.org/https://en.unesco.org/themes/education-policy

Ortiz, A., & Llanes, J. (2024). Inteligencia artificial para la educación propuesta de diseño de un objeto virtual de aprendizaje para los facilitadores de la Tecnoacademia Fija Arauca-SENA. Bogotá: [Trabajo de Maestría, Universidad El Bosque]. https://repositorio.unbosque.edu.co/server/api/core/bitstreams/1e4dc382-0076-4951-a295-6fe5d56b654f/content

Pacheco, S., Guevara, C., Samaniego, J., & Fernandez, J. (2023). Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance. Education Sciences, 13(10), 1-17. https://doi.org/https://www.mdpi.com/2227-7102/13/10/990 DOI: https://doi.org/10.3390/educsci13100990

Picciano, A. (2019). Artificial intelligence and the academy’s loss of purpose. Online Learning Journal, 23(3), 270-284. https://doi.org/https://doi.org/10.24059/olj.v23i3.2023 DOI: https://doi.org/10.24059/olj.v23i3.2023

Rejeb, A., R. K., Appolloni, A., Treiblmaier, H., & Iranmanesh, M. (2024). Exploring the impact of ChatGPT on education: A web mining and machine learning approach bimpact of ChatGPT on education: A web mining and machine learning approach. The International Journal Of Management Education, 22(1), 1-14. https://doi.org/https://doi.org/10.1016/j.ijme.2024.100932 DOI: https://doi.org/10.1016/j.ijme.2024.100932

Romero, V., Romero, M., Toala, M., & Romero, R. (2023). La inteligencia artificial aplicada a la educación universitaria. Serie Científica de la Universidad de las Ciencias Informáticas, 6(3), 75-84. https://doi.org/https://publicaciones.uci.cu/index.php/serie/article/view/1318

Rouhiainen, L. (2018). Inteligencia Artificial: 101 cosas que debes saber hoy sobre nuestro futuro. España: Alienta. https://doi.org/https://planetadelibrosar0.cdnstatics.com/libros_contenido_extra/40/39307_Inteligencia_artificial.pdf

Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2023). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. https://arxiv.org/abs/2309.10892 DOI: https://doi.org/10.3390/info15100596

Sanabria, J., Silveira, Y., Pérez, D., & De-Jesús, M. (2023). Incidencias de la inteligencia artificial en la educación contemporánea. Comunicar (77), 97-107. https://doi.org/https://doi.org/10.3916/C77-2023-08 DOI: https://doi.org/10.3916/C77-2023-08

Serván, C., Goenechea, C., & Machín, S. (2022). Evolución de la legislación educativa sobre la competencia digital de profesorado y alumnado desde el punto de vista del ejercicio de la ciudadanía crítica. En E. G. Vestri, La disrupción tecnológica en la administración pública. Retos y desafíos de la inteligencia artificial (págs. 189-204). Thomson Reuters Aranzadi.

Shen, C., & Tan, Y. (2023). Effect evaluation model of computer-aided physical education teaching and training based on artificial intelligence. Computer-Aided Design and Applications, 20(S5), 106-115. https://doi.org/https://doi.org/10.14733/cadaps.2023.S5.106-115 DOI: https://doi.org/10.14733/cadaps.2023.S5.106-115

Slade, S., & Prinsloo, P. (2023). Understanding privacy and data protection issues in learning analytics. British Journal of Educational Technology, 54(1), 1–15. https://doi.org/https://doi.org/10.1111/bjet.13388 DOI: https://doi.org/10.1111/bjet.13388

Sternberg, R. (2025). Don’t ask what AI can do for us, ask what it is doing to us’: are ChatGPT and co harming human intelligence? . The Guardian: https://www.theguardian.com/technology/2025/apr/19/dont-ask-what-ai-can-do-for-us-ask-what-it-is-do

Sweeney, L., Wu, F., & Zhang, J. (2024). Advancing privacy in learning analytics using differential privacy. Proceedings of the 14th International Learning Analytics and Knowledge Conference, 123–132. https://doi.org/https://doi.org/10.1145/3706468.3706493 DOI: https://doi.org/10.1145/3706468.3706493

Torres, T., & García, A. (2019). Reflexiones sobre los materiales didácticos virtuales. Revista Cubana Educación Superior, 38(3).

Vestri, G. (2023). Diccionario de términos para comprender la transformación digital. Aranzadi.

Williamson, B. (2018). Big data en educación. El futuro digital del aprendizaje, la política y la práctica. Morata.

Wise, B. (2016). Forget Big Data—Little Data Is Making Learning Personal. Wired: https://www.wired.com/2016/11/forget-big-data-little-data-making-learning-personal

Zhou, W. (2023). The development system of local music teaching materials based on deep learning. Optik ((273), 170421-170421. https://doi.org/https://doi.org/10.1016/j.ijleo.2022.170421 DOI: https://doi.org/10.1016/j.ijleo.2022.170421

Фіялка, С. Kornieva, Z., & Honcharuk, T. (2023). ChatGPT in Ukrainian Education: Problems and Prospects. International Journal Of Emerging Technologies In Learning, 18(17), 236-250. https://doi.org/https://doi.org/10.3991/ijet.v18i17.42215 DOI: https://doi.org/10.3991/ijet.v18i17.42215

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Published

2025-10-01

How to Cite

Marino Hernández Chanchi, & Uriel Monsalve Daz. (2025). THE SILENT REVOLUTION: IMPACT OF ARTIFICIAL INTELLIGENCE ON THE FUTURE OF EDUCATION. DIALÉCTICA, 1(26). https://doi.org/10.56219/dialctica.v1i26.4379

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Vol. 1 No. 26 (2025): DIALÉCTICA

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Revisión Bibliográfica

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