Impacto de la metacognición en el desarrollo de competencias científicas en estudiantes peruanos: una revisión sistemática
Impact of metacognition on the development of scientific competencies in peruvian students: a systematic reviewContenido principal del artículo
La metacognición es una herramienta clave para mejorar el aprendizaje y las competencias científicas, y que permite que los estudiantes autorregulen su proceso formativo y desarrollen pensamiento crítico. Esta revisión sistemática, basada en 18 estudios (2010-2024) de Scopus, SciELO y Google Scholar, analiza su impacto en la educación peruana. Los resultados evidencian que fortalece el rendimiento académico, la autonomía y la resolución de problemas, pero enfrenta barreras como estrategias pedagógicas desestructuradas, formación docente insuficiente y limitaciones institucionales. Se excluyeron estudios no revisados por pares o en otros idiomas. Las conclusiones resaltan la necesidad de integrar la metacognición en los currículos científicos y mejorar la capacitación docente, promoviendo aprendizajes más profundos. Para superar estos desafíos, se sugiere implementar políticas educativas que prioricen estos enfoques, combinando actualizaciones curriculares, formación docente y apoyo institucional. Esto optimizaría la enseñanza de las ciencias en Perú, adaptándola a las necesidades locales y potenciando su impacto educativo.
Metacognition is a key tool for enhancing learning and scientific competencies, allowing students to self-regulate their educational process and develop critical thinking. This systematic review, based on 18 studies (2010–2024) from Scopus, SciELO, and Google Scholar, analyzes its impact on Peruvian education. The results show that it strengthens academic performance, autonomy, and problem-solving skills but faces barriers such as unstructured pedagogical strategies, insufficient teacher training, and institutional limitations. Studies that were not peer-reviewed or in other languages were excluded. The conclusions highlight the need to integrate metacognition into science curricula and improve teacher training to promote deeper learning. To overcome these challenges, it is suggested to implement educational policies that prioritize these approaches, combining curriculum updates, teacher training, and institutional support. This would optimize science teaching in Peru, adapting it to local needs and enhancing its educational impact.
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Acar, Ö. (2022). Modelling of the relationships between students' grade-level, epistemic beliefs, metacognition, and science achievement in low and high-achieving schools. International Journal of Science Education, 44(15), 2573–2598. https://doi.org/10.1080/09500693.2022.2132048
Balconi, M., Acconito, C., Allegretta, R. A., y Crivelli, D. (2023). What is the relationship between metacognition and mental effort in executive functions? The contribution of neurophysiology. Behavioral Sciences, 13(11), 918. https://doi.org/10.3390/bs13110918
Bao, L., Soh, K. G., Mohd, N. J., Xie, H., y Zhang, J. (2023). Unveiling the impact of metacognition on academic achievement in physical education and activity settings: A comprehensive systematic review and meta-analysis of qualitative insights. Psychology Research and Behavior Management, 17, 973–987. https://doi.org/10.2147/PRBM.S444631
Carranza, M., Celaya, G., Herrera, J. A. D., y Carezzano, F. J. (2004). Una forma de procesar la información en los textos científicos y su influencia en la comprensión. Revista Electrónica de Investigación Educativa, 6(1). https://redie.uabc.mx/redie/article/view/91
Castro, A., Conejo, F., Quintero, L., y Vega, J. (2022). Análisis de la relación entre el rendimiento académico y las estrategias metacognitivas y motivacionales. Actualidades Pedagógicas, 1(78), 8. https://n9.cl/aibje
Dessie, E., Gebeyehu, D., y Eshetu, F. (2023). Motivation, conceptual understanding, and critical thinking as correlates and predictors of metacognition in introductory physics. Cogent Education, 10(1), 2290114. https://doi.org/10.1080/2331186X.2023.2290114
Dignath, C., y Büttner, G. (2008). Components of fostering self-regulated learning among students: A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3, 231–264. https://doi.org/10.1007/s11409-008-9029-x
Dinsmore, D. L., Alexander, P. A., y Loughlin, S. M. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20(4), 391–409. https://doi.org/10.1007/s10648-008-9083-6
Elsner, S., y Großschedl, J. (2024). Can metacognitive accuracy be altered through prompting in biology text reading? Metacognition and Learning, 19(1), 1–23. https://doi.org/10.1007/s11409-023-09322-1
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
Hands, C., y Limniou, M. (2023). A longitudinal examination of student approaches to learning and metacognition. Journal of Higher Education Theory and Practice, 23(19). https://doi.org/10.33423/jhetp.v23i19.6677
Hattie, J., y Donoghue, G. (2016). Learning strategies: A synthesis and conceptual model. npj Science Learning, 1, 16013. https://doi.org/10.1038/npjscilearn.2016.13
Hodges, B. D., y Hall, J. A. (2021). Google Scholar and other citation databases: An overview. Journal of the Medical Library Association, 109(1), 16–21.
Labak, I., Marunček, I., y Blažetić, S. (2024). Biology teaching that develops the metacognitive aspect of learning: How to learn competence. Journal of Education and e-Learning Research, 11(1), 113–127. https://doi.org/10.20448/jeelr.v11i1.5395
Li, S., y Wang, Z. (2024). Metacognition predicts critical thinking ability beyond working memory: Evidence from middle school and university students. Thinking Skills and Creativity, 41, 101120. https://doi.org/10.1016/j.tsc.2021.101120
Martínez, E. S., Díaz, N., y Rodríguez, D. E. (2011). El andamiaje asistido en procesos de comprensión lectora en universitarios. Educación y Educadores, 14(3), 531–556. https://doi.org/10.5294/edu.2011.14.3.6
Moreno, J. P., Arbulú, C. G., y Montenegro, L. (2021). La metacognición como factor de desarrollo de competencias en la educación peruana. Revista Educación, 46(1), 500–517. https://doi.org/10.15517/revedu.v46i1.43724
OECD. (2019). PISA 2018 results: What students know and can do (Volume I). OECD Publishing. https://lc.cx/f-BYpn
Prihandoko, L. A., Morganna, R., y Amalia, S. N. (2024). Self-efficacy and metacognition as the mediated effects of growth mindset on academic writing performance. Journal of Language and Education, 10(2), 108–122. https://doi.org/10.17323/jle.2024.13979
Rajcoomar, R., Morabe, O. N., y Breed, B. (2024). Effectiveness in fostering metacognition: Analysis into the state of metacognition within South African physical science classrooms with the aim of improving attainment. Journal of Education, 204(1), 1–15. https://doi.org/10.1177/00220574221104974
Rodríguez, N. E., Zepeda, R., y Reséndiz, M. (2023). Desarrollo de recurso educativo abierto para mejorar la comprensión lectora y la composición de manuscritos científicos: Un estudio piloto. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 14(27). https://doi.org/10.23913/ride.v14i27.1613
Roebers, C. M. (2017). Executive function and metacognition: Towards a unifying framework of cognitive self-regulation. Developmental Review, 45, 31–51. https://doi.org/10.1016/j.dr.2017.04.001
Sáez, F., López, Y., Arias, N., y Mella, J. (2022). Revisión sistemática sobre autorregulación del aprendizaje en estudiantes de secundaria. Perspectiva Educacional, 61(2), 167–195. https://doi.org/10.4151/07189729-vol.61-iss.2-art.1100
Schraw, G., y Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460–475. https://doi.org/10.1006/ceps.1994.1033
Veenman, M. V. J. (2011). Learning to self-monitor and self-regulate. En R. Mayer y P. Alexander (Eds.), Handbook of research on learning and instruction (pp. 197–218). Routledge. https://n9.cl/eyegq
Waltman, L., van Eck, N. J., y Jaffe, A. (2012). The strength of the relationship between citations and research quality: A comparison of different approaches. Scopus, 7(1), 67–80.
Winne, P. H. (2018). Theorizing and researching levels of processing in self-regulated learning. British Journal of Educational Psychology, 88(1), 9–20. https://doi.org/10.1111/bjep.12173
Zeitlhofer, I., Hörmann, S., Mann, B., Hallinger, K., y Zumbach, J. (2023). Effects of cognitive and metacognitive prompts on learning performance in digital learning environments. Knowledge, 3(2), 277–292. https://doi.org/10.3390/knowledge3020019
Zohar, A., y Barzilai, S. (2013). A review of research on metacognition in science education: Current and future directions. Studies in Science Education, 49(2), 121–169. https://doi.org/10.1080/03057267.2013.847261