Metacognitive Awareness in Colombian Engineering Students: A Comparative Analysis
DOI:
https://doi.org/10.15517/ap.v40i140.63745Keywords:
Metacognition, engineering education, cognitive skills, educational assessment, Colombian studentsAbstract
Objetive. This study investigates metacognitive awareness among food engineering and systems engineering students using the Metacognitive Awareness Inventory (MAI) to identify their strengths and areas for improvement. It also compares these results with findings from other academic disciplines reported in previous research. Method. The MAI was administered to 194 engineering students across different specializations. Statistical analysis included mean, standard deviation, and MANOVA to examine differences in metacognitive skills. Results. The results indicate significant variances in metacognitive skills between engineering subfields, and they suggest that engineering students may show different profiles compared to other disciplines such as psychology and education.
Downloads
References
Cervin-Ellqvist, M., Larsson, D., Adawi, T., Stöhr, C., & Negretti, F. (2021). Metacognitive illusion or self-regulated learning? Assessing engineering students’ learning strategies against the backdrop of recent advances in cognitive science. Higher Education, 82, 477-498. https://doi.org/10.1007/s10734-020-00635-x
Driscoll, D. L., Appiah-Yeboah, A., Salib, P., & Rupert, D. J. (2007). Merging qualitative and quantitative data in mixed methods research: how to and why not. Ecological and Environmental Anthropology, 3(1), 19-28. https://digitalcommons.unl.edu/icwdmeea/18/
Dunlosky, J., & Tauber, S. (2012). Understanding people’s metacognitive judgments: an isomechanism framework and its implications for applied and theoretical research. In T. Perfect & S. Lindsay (Eds.), The SAGE Handbook of applied memory (pp. 1-10). Sage publications Inc.
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
Fleur, D. S., Bredeweg, B., & van den Bos, W. (2021). Metacognition: Ideas and insights from neuro-and educational sciences. npj Science of Learning, 6(1), 1-13. https://doi.org/10.1038/s41539-021-00089-5
Gutierrez de Blume, A. P., & Montoya, D. M. (2021). Differences in metacognitive skills among undergraduate students in Education, Psychology, and Medicine. Revista Colombiana de Psicología, 30(1), 111-130. https://doi.org/10.15446/rcp.v30n1.88146
Hadgraft, R. G., & Kolmos, A. (2020). Emerging learning environments in engineering education. Australasian Journal of Engineering Education, 25(1), 3-16. https://doi.org/10.1080/22054952.2020.1713522
Huertas Bustos, A. P., Vesga Bravo, G. J., & Galindo León, M. (2014). Validación del instrumento Inventario de Habilidades Metacognitivas (MAI) con estudiantes colombianos. Praxis & Saber, 5(10), 55-74. https://doi.org/10.19053/22160159.3022
Ley Estatuaria 1581 de 2012. Por la cual se dictan disposiciones para la protección de datos personales. Octubre 18 de 2012. DO. N° 48587. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=49981
Marra, R. M., Hacker, D. J., & Plumb, C. (2022). Metacognition and the development of self-directed learning in a problem-based engineering curriculum. Journal of Engineering Education, 111(1), 137-161. https://doi.org/10.1002/jee.20437
Ministerio de Salud de la República de Colombia. Resolución Número 8430 de 1993. Por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud. Octubre 4 de 1993. https://www.minsalud.gov.co/sities/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/RESOLUCION-843027
Nussbaumer, A., Hillemann, E., Gütl, C., & Albert, D. (2015). A competence-based service for supporting self-regulated learning in virtual environments. Journal of Learning Analytics, 2(1), 101-133. https://doi.org/10.18608/jla.2015.21.6
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, Article 422. https://doi.org/10.3389/fpsyg.2017.00422
Pintrich, P. R. (2002). The role of metacognitive knowledge in learning, teaching, and assessing. Theory Into Practice, 41(4), 219-225. https://doi.org/10.1207/s15430421tip4104_3
Schraw, G. (2002). Promoting general metacognitive awareness. In H. Hartman (Ed.), Metacognition in Learning and Instruction: Theory, Research and Practice (pp. 3-16). Kluwer Academic.
Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460-475. https://doi.org/10.1006/ceps.1994.1033
Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7(4), 351-371. https://doi.org/10.1007/BF02212307
Wallin, P., & Adawi, T. (2018). The reflective diary as a method for the formative assessment of self- regulated learning. European Journal of Engineering Education, 43(4), 507-521. https://doi.org/10.1080/03043797.2017.1290585
Zheng, J., Xing, W., Zhu, G., Chen, G., Zhao, H., & Xie, C. (2020). Profiling self-regulation behaviors in STEM learning of engineering design. Computers & Education, 143, Article 103669. https://doi.org/10.1016/j.compedu.2019.103669
Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3-17. https://doi.org/10.1207/s15326985ep2501_2
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivativeWorks 4.0 Unported license




