Impacto del uso de la Inteligencia Artificial en la personalización del aprendizaje en estudiantes de bachillerato fiscal ecuatoriano
DOI:
https://doi.org/10.71112/k2gp8n40Palabras clave:
Inteligencia Artificial, personalización del aprendizaje, motivación académica, bachillerato fiscal, innovación educativaResumen
El presente estudio analiza el impacto del uso de la Inteligencia Artificial (IA) en la personalización del aprendizaje de los estudiantes de bachillerato fiscal ecuatoriano. A través de un enfoque cuantitativo y descriptivo, se aplicó un cuestionario estructurado a una muestra de estudiantes de segundo y tercer año, con el fin de identificar la relación entre el uso pedagógico de la IA, la motivación y el desempeño académico. Los resultados evidencian que las herramientas basadas en IA permiten ajustar los contenidos, la retroalimentación y el ritmo de enseñanza a las características individuales, generando entornos de aprendizaje más inclusivos y adaptativos. Asimismo, se observa una correlación positiva y significativa entre la frecuencia de uso de la IA y la percepción de autonomía, motivación y rendimiento. Se concluye que la integración ética y pedagógica de la IA constituye un recurso innovador para mejorar la calidad educativa, reducir brechas digitales y fortalecer la equidad en el sistema fiscal ecuatoriano.
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Akgün, S., & Greenhow, C. (2025). Ethical and pedagogical implications of artificial intelligence in K-12 education: A systematic review. Computers and Education: Artificial Intelligence, 6, 100223. https://www.researchgate.net/publication/354759795_Artificial_intelligence_in_education_Addressing_ethical_challenges_in_K-12_settings
Bayly-Castañeda, K. (2024). Crafting personalized learning paths with AI for lifelong learning: A systematic literature review. Frontiers in Education, 9, 1424386. https://doi.org/10.3389/feduc.2024.1424386 DOI: https://doi.org/10.3389/feduc.2024.1424386
Collin, S., Lepage, A., & Nebel, L. (2024). Ethical and critical issues of artificial intelligence in education: A systematic review of the literature. Canadian Journal of Learning and Technology, 49(4). https://doi.org/10.21432/cjlt28448 DOI: https://doi.org/10.21432/cjlt28448
Contrino, M. F., Membrillo-Hernández, J., & Aguilar-Muñoz, A. (2024). Using an adaptive learning tool to improve student performance and satisfaction in online and face-to-face education for a more personalized approach. Smart Learning Environments, 11, 27. https://doi.org/10.1186/s40561-024-00292-y DOI: https://doi.org/10.1186/s40561-024-00292-y
Creswell, J. W., & Creswell, J. D. (2024). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/research-design/book269103
Du Boulay, B. (2023). Artificial intelligence in education and ethics. In M. K. Barbour, R. Bates, A. Fidalgo Blanco, & T. N. M. Davis (Eds.), Handbook of Open, Distance and Digital Education (pp. 93–108). Springer Nature Singapore. https://www.researchgate.net/publication/367420600_Artificial_Intelligence_in_Education_and_Ethics DOI: https://doi.org/10.1007/978-981-19-2080-6_6
Gayed, J. M., Flor, N., & Moraes, T. (2024). Educators’ perspective on artificial intelligence: A survey of in-service teachers’ attitudes and use in teaching practice. Cogent Education, 11(1), 2447169. https://doi.org/10.1080/2331186X.2024.2447169 DOI: https://doi.org/10.1080/2331186X.2024.2447169
Giannakos, M., Divitini, M., Sharma, K., & Chen, W. (2024). The promise and challenges of generative AI in education: A systematic review. Behaviour & Information Technology. https://doi.org/10.1080/0144929X.2024.2394886 DOI: https://doi.org/10.1080/0144929X.2024.2394886
Hinojo-Lucena, F. J., Aznar-Díaz, I., Romero-Rodríguez, J. M., & Marín-Marín, J. A. (2024). Artificial intelligence and digital competence in secondary education: A systematic review. Education and Information Technologies, 29, 10879–10902. https://www.mdpi.com/2227-7102/9/1/51 DOI: https://doi.org/10.3390/educsci9010051
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education: Promises and implications for teaching and learning (2nd ed.). Center for Curriculum Redesign. https://curriculumredesign.org/our-work/artificial-intelligence-in-education/ DOI: https://doi.org/10.58863/20.500.12424/4276068
Joksimovic, S., Ifenthaler, D., Marrone, R., De Laat, M., & Siemens, G. (2023). Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review. Computers and Education: Artificial Intelligence, 4, 100138. https://doi.org/10.1016/j.caeai.2023.100138 DOI: https://doi.org/10.1016/j.caeai.2023.100138
König, J., Jäger-Biela, D. J., & Glutsch, N. (2023). Adopting and integrating artificial intelligence in schools: Methodological approaches and implications for educational research. Teaching and Teacher Education, 125, 104075. https://doi.org/10.1016/j.tate.2023.104075 DOI: https://doi.org/10.1016/j.tate.2023.104075
Létourneau, A., Deslandes Martineau, M., Charland, P., & Karran, A. (2025). A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education. npj Science of Learning, 10(1). https://doi.org/10.1038/s41539-025-00320-7 DOI: https://doi.org/10.1038/s41539-025-00320-7
Miah, S. J., & Rahman, M. (2024). Artificial intelligence for inclusive and personalized education: A global perspective.Heliyon, 10(7), e29145. https://doi.org/10.1016/j.heliyon.2024.e29145 DOI: https://doi.org/10.1016/j.heliyon.2024.e29145
Miranda, S., Rodríguez, J., Pérez, A., & Torres, L. (2025). Artificial intelligence in education: An exploratory survey to understand its adoption, concerns, and ethical issues. Education Sciences, 15(8), 975. https://doi.org/10.3390/educsci15080975 DOI: https://doi.org/10.3390/educsci15080975
Mousavinasab, E., Sarrafzadeh, A., & Taghizadeh, M. (2024). Artificial intelligence-based personalized learning systems: A review of challenges and prospects. Frontiers in Artificial Intelligence, 7, 1456273. https://www.researchgate.net/publication/362283276_AI-based_Personalized_E-Learning_Systems_Issues_Challenges_and_Solutions
Ramírez-Montoya, M. S., & García-Peñalvo, F. J. (2024). Artificial intelligence for learning: Towards sustainable, inclusive, and ethical educational ecosystems. Heliyon, 10(5), e26209. https://doi.org/10.1016/j.heliyon.2024.e26209 DOI: https://doi.org/10.1016/j.heliyon.2024.e26209
Son, T. (2024). Intelligent tutoring systems in mathematics education: A systematic literature review using the SAMR model. Computers, 13(10), 270. https://doi.org/10.3390/computers13100270 DOI: https://doi.org/10.3390/computers13100270
Taherdoost, H. (2023). Validity and reliability considerations in survey research: A practical perspective for researchers in social sciences. Social Sciences, 12(7), 367. https://doi.org/10.3390/socsci12070367 DOI: https://doi.org/10.3390/socsci12070367
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
Vieriu, A.-M. (2025). The impact of artificial intelligence (AI) on students’ learning outcomes: A systematic review.Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343 DOI: https://doi.org/10.3390/educsci15030343
Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: AI literacy, prompt engineering, and critical thinking. International Journal of Educational Technology in Higher Education, 21, 15. https://doi.org/10.1186/s41239-024-00448-3 DOI: https://doi.org/10.1186/s41239-024-00448-3
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167 DOI: https://doi.org/10.1016/j.eswa.2024.124167
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