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Artículos de Investigación

Vol. 5 Núm. 10 (2025): Revista Simón Rodríguez

Filtros educativos basados en inteligencia artificial: transformaciones en la enseñanza y la interacción docente-estudiante

Educational filters based on artificial intelligence: transformations in teaching and teacher-student interaction
Publicado
2025-10-30

Los filtros educativos basados en IA median el acceso, secuenciación, evaluación y apoyo a estudiantes mediante datos de aprendizaje. El objetivo de este estudio es analizar la evolución, efectividad y transformaciones pedagógicas de los filtros educativos basados en inteligencia artificial y su impacto en la enseñanza y la interacción docente-estudiante. El enfoque es cualitativo, se realizó una revisión narrativa-analítica de evidencia empírica, ensayos controlados aleatorizados (RCT), revisiones sistemáticas y marcos institucionales. Los resultados indican mejora significativa en aprendizaje y compromiso estudiantil con eficiencia temporal. El RCT en educación superior muestra medianas superiores con tutor de IA (4.5 vs 3.5), mayor compromiso (4.1 vs 3.6) y menor tiempo (49 vs 60 min). Los sistemas tutores inteligentes en K-12 demuestran efectos positivos en autorregulación. Los pipelines multimodales reportan alta especificidad (99.06%) con sensibilidad variable. Se concluye que los filtros educativos constituyen infraestructura transformadora que personaliza y optimiza el aprendizaje cuando preservan interacción humana y se acompañan de marcos de gobernanza robustos.

AI-based educational filters mediate student access, sequencing, assessment, and support using learning data. This study aims to analyze the evolution, effectiveness, and pedagogical transformations of AI-based educational filters and their impact on teaching and teacher-student interaction. The approach is qualitative, employing a narrative-analytical review of empirical evidence, randomized controlled trials (RCTs), systematic reviews, and institutional frameworks. The results indicate significant improvements in learning and student engagement with time efficiency. The RCT in higher education shows higher medians with AI tutors (4.5 vs. 3.5), greater engagement (4.1 vs. 3.6), and shorter time (49 vs. 60 min). Intelligent tutoring systems in K-12 demonstrate positive effects on self-regulation. Multimodal pipelines report high specificity (99.06%) with variable sensitivity. The study concludes that educational filters constitute transformative infrastructure that personalizes and optimizes learning when they preserve human interaction and are accompanied by robust governance frameworks.

Número:
Vol. 5 Núm. 10 (2025): Revista Simón Rodríguez
Sección:
Artículos de Investigación

Referencias

  1. A comprehensive AI policy education framework for university teaching and learning. (2023). Educational Technology Journal. https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00408-3
  2. Acevedo, M., Cabezas, N., La Serna, P., y Araujo, S. A. (2025). Desafíos y oportunidades de la inteligencia artificial en la educación superior latinoamericana: una revisión sistemática de la literatura. Revista Conrado. http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S2739-00632026000103074
  3. AI vs. Human Moderators: A Comparative Evaluation of Multimodal Brand Safety Classification. (2025). arXiv. https://arxiv.org/html/2508.05527v1
  4. AI Governance in Latin America. (2024). Center for Cybersecurity Policy. https://www.centerforcybersecuritypolicy.org/insights-and-research/ai-governance-in-latin-america
  5. Al Faraby, S., Romadhony, A., y Adiwijaya. (2024). Analysis of LLMs for educational question classification and generation. Computers and Education: Artificial Intelligence, 7, 100298. https://www.sciencedirect.com/science/article/pii/S2666920X24001012
  6. Ali, O., Murray, P. A., Momin, Y., Dwivedi, Y., y Malik, T. (2023). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, 123076. https://doi.org/10.1016/j.techfore.2023.123076
  7. ANEP. (2024). La inteligencia artificial en la educación. https://www.anep.edu.uy/sites/default/files/images/2024/noticias/julio/240709/Documento%20IA.pdf
  8. Artificial intelligence in education: A systematic literature review. (2024). Expert Systems with Applications. https://www.sciencedirect.com/science/article/pii/S0957417424010339
  9. Artificial Intelligence in Education (AIED): Towards More Effective Regulation. (2025). European Journal of Risk Regulation. https://www.cambridge.org/core/journals/european-journal-of-risk-regulation/article/artificial-intelligence-in-education-aied-towards-more-effective-regulation/58C6BB8A2E0D43FA3911A063AA2D4DB8
  10. A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education. (2025). npj Science of Learning, 10, 29. https://doi.org/10.1038/s41539-025-00320-7
  11. Clasificación de las Herramientas de la Inteligencia Artificial en la Educación. (2024). Revista Docentes 2.0. http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S2665-02662024000100031
  12. Chen et al. (2022) corresponde al artículo: Chen, L., Chen, P., & Lin, Z. (2022). Artificial intelligence in education: A review. DOI: https://doi.org/10.1016/j.compedu.2022.104579
  13. Course Success Prediction and Early Identification of At-Risk Students using XAI. (2024). Electronics, 13(21), 4157. https://www.mdpi.com/2079-9292/13/21/4157
  14. Creely, E., y Carabott, K. (2025). Teaching and learning with AI: an Integrated AI-Oriented Pedagogical Model. The Australian Educational Researcher. https://link.springer.com/article/10.1007/s13384-025-00913-6
  15. EDUTEC. (2024). Informe EDUTEC sobre Inteligencia Artificial y Educación. https://edutec.es/wp-content/uploads/2024/11/Edutec-INFORME-IA-MAQUETADO-FINALv2.pdf
  16. Exploring the effects of artificial intelligence on student well-being: a mini-review. (2025). PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC11830699/
  17. Higher Education Act for AI (HEAT-AI): a framework to regulate the use of AI in higher education. (2025). Frontiers in Education. https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2025.1505370/full
  18. ILIA 2024: Evaluating AI Readiness and Progress in Latin America. (2024). CEPAL. https://www.cepal.org/en/notes/ilia-2024-evaluating-ai-readiness-and-progress-latin-america
  19. Irwanto, I. (2025). Research trends on artificial intelligence in K-12 education in Asia: a bibliometric analysis using the Scopus database (1996–2025). Discov Artif Intell, 5, 155. https://link.springer.com/article/10.1007/s44163-025-00389-4
  20. Kestin, G., Miller, K., Klales, A., Milbourne, T., y Ponti, G. (2025). AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting. Scientific Reports. https://www.nature.com/articles/s41598-025-97652-6
  21. Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learning Environments, 10, 41. https://slejournal.springeropen.com/articles/10.1186/s40561-023-00260-y
  22. Myint, P. Y. W., Lo, S. L., & Zhang, Y. (2024). Harnessing the power of AI-instructor collaborative grading approach: Topic-based effective grading for semi open-ended multipart questions. Computers and Education: Artificial Intelligence, 7, 100339. https://doi.org/10.1016/j.caeai.2024.100339
  23. Regional cooperation crucial for AI safety and governance in Latin America. (2024). Brookings. https://www.brookings.edu/articles/regional-cooperation-crucial-for-ai-safety-and-governance-in-latin-america/
  24. Sharp, K., Ouellette, R. R., Singh Rajendra Singh, R., DeVito, E. E., Kamdar, N., de la Noval, A., Murthy, D., y Kong, G. (2025). Generative AI and machine learning methods to screen social media content. PeerJ Computer Science. https://pmc.ncbi.nlm.nih.gov/articles/PMC11935761/
  25. The development of policies on generative artificial intelligence in UK universities. (2025). SAGE Journals. https://journals.sagepub.com/doi/10.1177/03400352251333796
  26. The future of Artificial Intelligence in education in Latin America. (2023). OEI/ProFuturo. https://oei.int/wp-content/uploads/2023/04/the-future-of-artificial-intelligence-in-education-in-latin-america-oei-profuturo.pdf
  27. The quiet transformation of higher education in the AI era. (2025). Open Research Europe. https://open-research-europe.ec.europa.eu/articles/5-249/v1/pdf?article_uuid=add59f3d-1bbf-4b46-a11b-c399df0ec010
  28. U.S. Department of Education, Office of Educational Technology. (2023). Artificial Intelligence and the Future of Teaching and Learning. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
  29. UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
  30. UNESCO. (2024). Recommendation on the Ethics of Artificial Intelligence. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
  31. UNESCO presents the Artificial Intelligence Readiness Assessment — Mexico. (2023). UNESCO. https://www.unesco.org/ethics-ai/en/articles/unesco-presents-artificial-intelligence-readiness-assessment-mexico
  32. Vinoth, E., Augustian, R., Sundaravadivel, P., y Janaki, P. (2025). Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics. Scientific Reports. https://www.nature.com/articles/s41598-025-21332-8
  33. Zawacki-Richter, O., Marín, V. I., Bond, M., y Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-019-0171-0