Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior

Introducción: La autorregulación del aprendizaje es la capacidad del estudiante para asumir el control de su propio aprendizaje, mediante la elección consciente de estrategias cognitivas y metacognitivas. En la virtualidad esta competencia se constituye en un factor determinante para alcanzar aut...

Full description

Autores:
García-Naranjo, Martha Lucía
Grisales -Grisales, María Carmenza
Quintero-Pamplona, Daniel Eduardo
Esteban-Duarte, Nubia
Tipo de recurso:
Article of journal
Fecha de publicación:
2024
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13725
Acceso en línea:
https://doi.org/10.17981/cultedusoc.15.2.2024.4628
Palabra clave:
self-regulation
learning
online learning
self-efficacy
higher education
Autorregulación
aprendizaje
aprendizaje en línea
autoeficacia
enseñanza superior
Rights
openAccess
License
Cultura Educación Sociedad - 2024
id RCUC2_47ff2c97144843750ddd59ed762f1cb7
oai_identifier_str oai:repositorio.cuc.edu.co:11323/13725
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
dc.title.translated.eng.fl_str_mv Evaluation of the effectiveness of self-regulation of learning in virtual environments in higher education
title Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
spellingShingle Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
self-regulation
learning
online learning
self-efficacy
higher education
Autorregulación
aprendizaje
aprendizaje en línea
autoeficacia
enseñanza superior
title_short Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
title_full Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
title_fullStr Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
title_full_unstemmed Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
title_sort Evaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superior
dc.creator.fl_str_mv García-Naranjo, Martha Lucía
Grisales -Grisales, María Carmenza
Quintero-Pamplona, Daniel Eduardo
Esteban-Duarte, Nubia
dc.contributor.author.spa.fl_str_mv García-Naranjo, Martha Lucía
Grisales -Grisales, María Carmenza
Quintero-Pamplona, Daniel Eduardo
Esteban-Duarte, Nubia
dc.subject.eng.fl_str_mv self-regulation
learning
online learning
self-efficacy
higher education
topic self-regulation
learning
online learning
self-efficacy
higher education
Autorregulación
aprendizaje
aprendizaje en línea
autoeficacia
enseñanza superior
dc.subject.spa.fl_str_mv Autorregulación
aprendizaje
aprendizaje en línea
autoeficacia
enseñanza superior
description Introducción: La autorregulación del aprendizaje es la capacidad del estudiante para asumir el control de su propio aprendizaje, mediante la elección consciente de estrategias cognitivas y metacognitivas. En la virtualidad esta competencia se constituye en un factor determinante para alcanzar autonomía que puede mejorar las interacciones del estudiante en los entornos virtuales de aprendizaje. Objetivo: evaluar la eficacia de la autorregulación del aprendizaje en los entornos virtuales en programas de pregrado y posgrado de una universidad colombiana. Metodología: cuantitativa con estadística descriptiva y correlacional aplicada a tres momentos del acto formativo y a tres fases de la autorregulación del aprendizaje. La muestra fue de ocho profesores y 533 estudiantes de seis programas académicos virtuales. Resultados: se encontró una ruptura en los tres momentos del acto formativo, lo que limitó el desarrollo del ciclo de autorregulación del aprendizaje. Las variables: previsión, ejecución, autorreflexión fueron significativas para su medición y las de mayor influencia en los procesos autorregulatorios se relacionaron con el nivel de formación en tres pregrados y tres posgrados. Para la universidad estudiada el Índice de Autoeficacia tuvo un valor de 0.31. Conclusiones: se evidencia una problemática asociada a factores pedagógicos, tecnológicos, comunicativos y/o de gestión educativa, que reducen la intencionalidad formativa para que el estudiante alcance autonomía. Es importante investigar y medir de manera holística la autorregulación del aprendizaje en entornos virtuales como proceso y acto formativo. El índice de autoeficacia es aplicable en otras investigaciones en entornos virtuales de aprendizaje.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-10-29 02:59:27
dc.date.available.none.fl_str_mv 2024-10-29 02:59:27
dc.date.issued.none.fl_str_mv 2024-10-29
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.local.eng.fl_str_mv Journal article
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2145-9258
dc.identifier.url.none.fl_str_mv https://doi.org/10.17981/cultedusoc.15.2.2024.4628
dc.identifier.doi.none.fl_str_mv 10.17981/cultedusoc.15.2.2024.4628
dc.identifier.eissn.none.fl_str_mv 2389-7724
identifier_str_mv 2145-9258
10.17981/cultedusoc.15.2.2024.4628
2389-7724
url https://doi.org/10.17981/cultedusoc.15.2.2024.4628
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartofjournal.spa.fl_str_mv Cultura Educación Sociedad
dc.relation.references.spa.fl_str_mv Al-Hawamleh, M. S., Alazemi, A., Al-Jamal, D., Shdaifat, S., Rezaei, Z. (2022). Online Lear- ning and Self-Regulation Strategies: Learning Guides Matter. Education Research In- ternational, 1(31), 1-8. https://doi.org/10.1155/2022/4175854 Apridayani, A., Hanb, W & Waluyo, B (2023). Understanding students’ self-regulated lear- ning and anxiety in online English courses in higher education. Heliyon. Volumen 9. Volumen 9, Número 6. https://doi.org/10.1016/j.heliyon.2023.e17469 Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (Vol. 5, pp. 307-337). Greenwich, CT: Infor- mation Age Publishing. http://www.sciepub.com/reference/181510 Breiman, L. (2001). Random Forests. The University of Berkley, California. https://www .stat.berkeley.edu/~breiman/randomforest2001.pdf. Bylieva, D., Hong, J. C., Lobatyuk, V., Nam, T. (2021). Self-Regulation in E-Learning Envi- ronment. Educ. Sci., 11, 785. https://doi.org/ 10.3390/educsci11120785 Carneiro, J., Toscano, J. C. y Diaz, T. (2021). Los desafíos de las TIC para el cambio educa- tivo. Fundación Santillana. Organización de Estados Iberoamericanos (OEI). https:// www.oei.es/uploads/files/microsites/28/140/lastic2.pdf Cassidy, S. (2011). Self-regulated learning in higher education: Identifying key component processes. Studies in Higher Education, 36(8), 989-1000.https://doi.org/10.1080 /03075079.2010.503269 Castro Méndez, N., Suárez Cretton, X. & Rivera Olguín, P. (2021). Self-regulation strategies used by university students in virtual environments and academic satisfaction achieved in a pandemic. Rev. Mendive, 19(4), 1127-1141. https://mendive.upr.edu.cu/index .php/MendiveUPR/article/view/2555 Coll, C. (2005). Lectura y alfabetismo en la Sociedad de la información. Revista sobre la So- ciedad del conocimiento https://www.uoc.edu/uocpapers/1/dt/esp/coll.pdf Chao-Hong, J., Fang Lee, Y. & Hong Ye, J. (2021). Procrastination predicts online self-regu- lated learning and online learning ineffectiveness during the coronavirus lockdown. Per- sonality and Individual Differences, 174 https://doi.org/10.1016/j.paid.2021.110673 Dang, S. & Koedinger, K. (2020, 25-27 de marzo). Opportunities for Human-AI Collaborative Tools to Advance Development of Motivation Analytics. [Workshop]. 10th International Conference on Learning Analytics & Knowledge (LAK20). https://www.stevencdang .com/_files/ugd/c1d7a7_b3d31dbef40940d196962a037ea4923d.pdf Dillenbourg, P., Schneider, D. K., & Synteta, P. (2002). Virtual Learning Environments. In A. Dimitracopoulou (Ed). Proceedings of the 3rd Hellenic Conference “Information & Communication Technologies in Education” (pp. 3-18). Kastaniotis Editions Greece. https://www.academia.edu/2863196/Virtual_learning_environments Duque, N., Ovalle, D. y Moreno, J. (2017). Tecnologías para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos. Publicaciones Universidad Nacio- nal de Colombia. https://catalogo.juanncorpas.edu.co/cgi-bin/koha/opac-detail.pl ?biblionumber=13979 Dubovi, I (2023). Facial expressions capturing emotional engagement while learning with desktop VR: the impact of emotional regulation and personality traits.. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2208173 Eggers, J. H., Oostdam, R., & Voogt, J. (2021). Self-regulation strategies in blended lear- ning environments in higher education: A systematic review. Australasian Journal of Educational Technology, 37(6), 175–192. https://doi.org/10.14742/ajet.6453 Flores-Rivas, V. y Márquez, L. (2020). Logros de aprendizaje, herramientas tecnológi- cas y autorregulación del aprendizaje en tiempos de Covid 19. Journal of Business and Entrepreneurial Studies, 4(3), 102-109. https://www.redalyc.org/journal/5736 /573667939007/ Funa, A., Gabay, R., Deblois, E., Lerios, l & Jetorno, F. (2023). Exploring Filipino preser- vice teachers’ online self-regulated learning skills and strategies amid the COVID-19 pandemic. Elsevier. https://doi.org/10.1016/j.ssaho.2023.100470 García, M. L. (2023). La formación en capacidades humanas en educación virtual. Fondo Editorial Universidad de Manizales. García-Marcos, C., López-Vargas, O. y Cabrero-Almenara, J. (2020). Autorregulación del aprendizaje en la formación profesional a distancia: efectos de la gestión del tiempo. Revista de Educación a Distancia, 20(62) http://dx.doi.org/10.6018/red.400071. Garzón, A. y Díaz, P. (2021). Towards best practices in online learning: fostering student self-regulation. Administración & Desarrollo, 51(1),4-27. https://doi.org/10.22431 /25005227.vol51n1.1 Harrak, F., Bouchet, F., Luengo, V., & Bachelet, R. (2019, 2-5 de julio). Automatic Identi- fication of Questions in MOOC Forums and Association with Self-Regulated Learning [Sesiónd de congreso]. Educational Data Mining, Montréal, Canada. ffhal-02157335f https://hal.archives-ouvertes.fr/hal-02157335/document Hernández, V. M., Santana, P. J. y Sosa, J. J. (2021). Feedback y autorregulación del apren- dizaje en educación superior. Revista de Investigación Educativa, 39(1), 227-248. http://dx.doi.org/10.6018/rie.423341 Huang, X., Li, Z, S., Wang, T & Pain, Z. (2023). Exploring the co-occurrence of students’ learning behaviours and reasoning processes in an intelligent tutoring system: An epis- temic network analysis. Journal of Computer Assisted Learning https://doi.org/10 .1111/jcal.12827 Jafarova, O., Mazhirina, K., Sokhadze, E., & Shtark, M. (2020). Self-regulation Strategies and Heart Rate Biofeedback Training. Applied Psychophysiology and Biofeedback, 45, 87–98. https://doi.org/10.1007/s10484-020-09460-5 Jin, S., Yoo,M & Seo, K. (2023). Supporting students’ self-regulated learning in online lear- ning using artifcial intelligence applications. International Journal of Educational Te- chnology in Higher Education. https://doi.org/10.1186/s41239-023-00406-5 Junastikova, J. (2023). Self-regulation of learning in the context of modern technology: a review of empirical studies. Interactive Technology and Smart Education. https:// www.emerald.com/insight/content/doi/10.1108/ITSE-02-2023-0030/full/html Landau, M., Sabulsky, G., & Schwartzman, G. (2021). Hacia nuevos horizontes en las clases universitarias en contextos emergentes. Contribuciones de la tecnología educativa. Vir- tualidad, Educación y Ciencia, 12(24), 9–24. https://revistas.unc.edu.ar/index.php /vesc/article/view/36279 Le, B., Lawrie, G. A., & Wang, J. (2022). Student Self-perception on Digital Literacy in STEM Blended Learning Environments. J Sci Educ Technol, 31, 303-321. https:// doi.org/10.1007/s10956-022-09956-1 Lévy, P. (2004). Inteligencia colectiva: por una antropología del ciberespacio. Organiza- ción Panamericana de la Salud. https://ciudadanosconstituyentes.files.wordpress .com/2016/05/lc3a9vy-pierre-inteligencia-colectiva-por-una-antropologc3ada-del -ciberespacio-2004.pdf Li, Q., Xu, D., Baker, R., Holton, A and Warschauer, M. (2022). Can student-facing analytics improve online students’ effort and success by affecting how they explain the cause of past performance?, Comput. Educ., vol. 185, pp. 104517. https://doi.org/10.1016 /j.compedu.2022.104517 Maldonado-Mahauad, J., Hilliger, D., Laet, T., Millecamp, M., Verbert, K., Ochoa, X., & Pé- rez-Sanagustín, M. (2018, 7-9 de marzo). Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America (LALA). [Supplementary Proceedings]. 8th International Conference on Learning Analytics and Knowledge (LAK18) Martínez, L. F, y Gaeta, M. L. (2019). Utilización de la plataforma virtual Moodle para el desarrollo del aprendizaje autorregulado en estudiantes universitarios. Educar, 55(2), 479-498. https://educar.uab.cat/article/view/v55-n2-martinez-sarmiento-gaeta/883 -pdf-es Matcha, W., Gasevi, D., Ahmad, N., Jovanovic, J., Pardo, A., Lim, L., Maldonado-Mahauad, J., Gentili, S., Heridan, Perez-Sanagust, M., & Tsai, Y. (2020). Analytics of Learning Strategies: Role of Course Design and Delivery Modality. Journal of learning analitycs, 7(2), 45–71. http://dx.doi.org/10.18608/jla.2020.72.3 Mo, T. Y. (2021). El aprendizaje en línea en tiempos de la crisis del COVID-19: Implicaciones para el aprendizaje autorregulado de estudiantes universitarios de diseño. Aprendizaje Activo en la Educación Superior. doi: 10.1177/14697874211051226 Montgomery, D. (2004). Diseño y análisis de experimentos. John Wiley & Sons. More- no-Marcos, P., Merino, P., Maldonado, J., Pérez-Sanagustín, M., Alario-Hoyos, C., & Delgado Kloos, C. (2019). Temporal analysis for dropout prediction using self-regula- ted learning strategies in self-paced MOOCs. Computers & Education, 145. https:// doi.org/10.1016/j.compedu.2019.103728. Muhittin, S & Halil, Y. (2022). Learners’ Needs in Online Learning Environments and Third Generation Learning Management Systems (LMS 3.0). Technology, Knowledge and Learning, v27 n1 p33-48 Mar 2022. https://eric.ed.gov/?id=EJ1327212 Özdal, H., Özden, C., Güneyli, A., & Atasoy, R. (2022). Effectiveness of self-regulated Learning skills on web-based instruction attitudes in online environments. Pegem Journal of Edu- cation and Instruction, 12(1), 182–193. https://doi.org/10.47750/pegegog.12.01.18 Pham, T., Lai, P & Nguyen, V. (2021). Exploring Relationships Between Learners’ Inter- net Self-efficacy, Online Self-Regulation, and Interaction during Online Learning amid COVID-19 in Vietnam. https://doi.org/10.2991/assehr.k.211224.013 Panadero, P. y Alonso-Tapia, J. (2014). Teorías de autorregulación educativa: una compara- ción y reflexión teórica. Contrasting self-regulation educational theories: A theoretical review. Psicología Educativa, 20(Issue 1), 11-22. https://doi.org/10.1016/j.pse.2014 .05.002 Perez-Álvarez, R., Maldonado-Mahauad, J., Pérez-Sanagustín, M. (2018, 3-5 sep.).Tools to Support Self-regulated Learning in Online Environments: Literature Review [Procee- ding]. 13th European Conference on Technology Enhanced Learning, EC-TEL. https:// doi.org/10.1007/978-3-319-98572-5_2 Pedrotti, M & Nistor, N. (2019). How Students Fail to Self-regulate Their Online Learning Experience. https://link.springer.com/chapter/10.1007/978-3-030-29736-7_28 Pineda, J & Jr, M. (2023). Self-regulation among state university students in an online lear- ning environment. International Journal of Social Science And Human Research. Vo- lume 06. DOI: 10.47191/ijsshr/v6-i6-15, Impact factor- 6.686. https://ijsshr.in/v6i6 /Doc/15.pdf Pintrich, P. R. (2003). A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts. Journal of Educational Psychology, 95(4), 667– 686. https://doi.org/10.1037/0022-0663.95.4.667 Puya Lino, A., Ruíz Rabasco, Y., & García Espinoza, M. (2021). Autorregulación académica y aprendizaje autónomo en la enseñanza virtual de la carrera de Educación Básica de la Universidad Estatal Península de Santa Elena. Revista Ciencias Pedagógicas e Innova- ción, 9(2), 33-39. https://doi.org/10.26423/rcpi.v9i2.426 Reyna, M. (2023). Entornos virtuales y aprendizaje colaborativo. Nuevas tendencias. Re- vista de la Universidad del Zulia, Vol. 14, No. 39, 333-354 DOI: http://dx.doi.org/10 .46925//rdluz.39.18 Rivera-Vargas, P., Anderson, T. & Cano, C. A. (2021). Exploring Students’ learning Expe- rience in Online Education: Analysis and Improvement Proposals Based on the Case of a Spanish Open Learning University. Education Tech Research Dev, 69, 3367–3389. https://doi.org/10.1007/s11423-021-10045-0 Şahin, M., & Yurdugül, H. (2020). Learners’ Needs in Online Learning Environments and Third Generation Learning Management Systems (LMS 3.0). Tech Know Learn 27, 33– 48. https://doi.org/10.1007/s10758-020-09479-x. Saiz-Manzanares, M., Almeida, L., Aton, M., Carbonero, L., Valdivieso-Burón, M., (2022). Teacher Training Effectiveness in Self-Regulation in Virtual Environments. Frontiers in Psychology. 13. 776806. 10.3389/fpsyg.2022.776806. Salazar, I., & Heredia-Escorza, Y. (2019). Estrategias de aprendizaje y desempeño académi- co en estudiantes de Medicina. Educación Médica, 20(4), 256-262 https://doi.org/10 .1016/j.edumed.2018.12.005 Schunk, D. H., & Zimmerman, B. J. (2003). Self-regulation and learning. In W. M. Reynolds & G. E. Miller (Eds.), Handbook of psychology: educational psychology, Vol. 7, pp. 59– 78). John Wiley & Sons Inc. https://psycnet.apa.org/record/2003-04684-004 Shafaq, S., Ali. A., Memon, F., Ahmad, A., & Soomro, A. (2021). Aprendizaje en línea du- rante la pandemia del COVID-19: aplicación de la teoría de la autodeterminación en la ‘nueva normalidad’. Revista de Psicodidáctica, 26(Issue 2), 169-178. https://doi.org /10.1016/j.psicoe.2020.12.003 Stephen, J., & Rockinson-Szapkiw, A. (2021). A high-impact Practice for Online Stu- dents: the use of a First-semester Seminar Course to Promote Self-regulation, Self-direction, Online Learning Self-efficacy. Smart Learn. Environ. 8, 6. https:// doi.org/10.1186/s40561-021-00151-0 Sutarni, N., Ramdhany, M. A., Hufad, A., Kurniawan. E. (2021). Self-regulated Learning and Digital Learning Environment: its’ Effect on Academic Achievement During the Pandemic. Journal Ilmiah Pendidikan, 40(2), 374-388. https://journal.uny.ac.id /index.php/cp/article/view/40718 Stephen, J & Rockinson-Szapkiw, A. (2021). A high-impact practice for online students: the use of a first-semester seminar course to promote self-regulation, self-direction, online learning self-efficacy. https://slejournal.springeropen.com/articles/10.1186/s40561 -021-00151-0 Tawfik, A. A., Gatewood, J., Gish-Lieberman, J. J., Hampton, A. (2021). Toward a Defini- tion of Learning Experience Design. Tech Know Learn 27, 309–334. https://doi.org /10.1007/s10758-020-09482-2 Tohadurin, U., Rahmat, A., & Kurniawan, S. (2019). The Important of Self-efficacy and Self-regulation in Learning: How should a Student be? Journal of Physics: Conference Series 1157(Issue2). https://doi.org/10.1088/1742-6596/1157/2/022074 Tur, G., Ramírez-Mera, U., & Marín, V. I. (2021). Aprendizaje autorregulado y entornos personales de aprendizaje en la formación inicial docente: percepciones del alumnado y propuestas de herramientas y recursos. Revista Complutense de Educación, 33(1), 41- 55. https://doi.org/10.5209/rced.71002 Villada, D., Grisales, M.C., Prada, D., Ocampo, J., García, M.L y Villada, M. (2018). Auto- rregulación e investigación: habilidades en trayecto. Fondo editorial, Universidad de Manizales. https://ridum.umanizales.edu.co/xmlui/handle/20.500.12746/5566 Wang, H., Li, D., Gu, C., Wei, W., Chen, J. (2023). Research on high school students’ beha- vior in art course within a virtual learning environment based on SVVR. Frontiers in Psychology. vol. 14, pp. 10.3389/fpsyg.2023.1218959 Wong, F., Baars, M., He, M., Koning, B & Pass, F. (2021). Facilitating Goal Setting and Planning to Enhance Online Self-regulation of Learning. Computers in Human Beha- vior, 124, 106913. https://doi.org/10.1016/j.chb.2021.106913. Yılmaz, Y. (2022). Structural Equation Modelling Analysis of the Relationships Among Uni- versity Students’ Online Self-Regulation Skills, Satisfaction and Perceived Learning. Participatory Educational Research, 9(3), 1-22. https://doi.org/10.17275/per.22.51.9.3 Yonghai, Z., Shengmei, X., Wenguang, W., Zhang, L., Liu, D., Liu, Z &Xu, Y. (2022). The impact of Online and Offline Learning motivation on learning performance: the media- ting role of positive academic emotion. Education and Information Technologies. Vol. 27, No. 7https://dl.acm.org/doi/abs/10.1007/s10639-022-10961-5 Zhang, R., & Zou, D. (2022). Self-regulated Second Language Learning: a Review of Types and Benefits of Strategies, Modes of Teacher Support, and Pedagogical Implications. Computer Assisted Language Learning https://doi.org/10.1080/09588221.2022 .2055081. Zhu, Y., Xu, S., Wang, W., Zhabg, L., Liu, D., Liu, Z., & Xu, Y. (2022). The impact of Online and Offline Learning Motivation on Learning Performance: the Mediating Role of Positive Academic Emotion. Educ Inf Technol, 27(7), 8921-8938. https:// doi.org/10.1007/s10639-022-10961-5 Zimmerman, B.J. (1989). A social cognitive view of self-regulated academic learning. Jour- nal of Educational Psychology, 81(3), 329–339. https://doi.org/10.1037/0022-0663 .81.3.329 Zimmerman, B. J. (2000). Attaining Self-Regulation: A Social Cognitive Perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 13- 39). Academic Press. http://dx.doi.org/10.1016/B978-012109890-2/50031-7 Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice 41(2):64-70. DOI:10.1207/s15430421tip4102_2 Zimmerman, B. J., & Kitsantas, A. (2002). Acquiring writing revision and self-regulatory skill through observation and emulation. Journal of Educational Psychology, 94(4), 660–668. https://doi.org/10.1037/0022-0663.94.4.660
dc.relation.citationendpage.none.fl_str_mv e34454628
dc.relation.citationstartpage.none.fl_str_mv e34454628
dc.relation.citationissue.spa.fl_str_mv 2
dc.relation.citationvolume.spa.fl_str_mv 15
dc.relation.bitstream.none.fl_str_mv https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/4628/5443
dc.relation.citationedition.spa.fl_str_mv Núm. 2 , Año 2024 : Cultura Educación Y Sociedad
dc.rights.spa.fl_str_mv Cultura Educación Sociedad - 2024
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Cultura Educación Sociedad - 2024
https://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad de la Costa
dc.source.spa.fl_str_mv https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/view/4628
institution Corporación Universidad de la Costa
bitstream.url.fl_str_mv https://repositorio.cuc.edu.co/bitstreams/b25081de-c2ca-4c93-8a4a-6610390129c7/download
bitstream.checksum.fl_str_mv d625ea2f613b0eaab00d827aee23a9d2
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio de la Universidad de la Costa CUC
repository.mail.fl_str_mv repdigital@cuc.edu.co
_version_ 1828166869158199296
spelling García-Naranjo, Martha LucíaGrisales -Grisales, María CarmenzaQuintero-Pamplona, Daniel EduardoEsteban-Duarte, Nubia2024-10-29 02:59:272024-10-29 02:59:272024-10-292145-9258https://doi.org/10.17981/cultedusoc.15.2.2024.462810.17981/cultedusoc.15.2.2024.46282389-7724Introducción: La autorregulación del aprendizaje es la capacidad del estudiante para asumir el control de su propio aprendizaje, mediante la elección consciente de estrategias cognitivas y metacognitivas. En la virtualidad esta competencia se constituye en un factor determinante para alcanzar autonomía que puede mejorar las interacciones del estudiante en los entornos virtuales de aprendizaje. Objetivo: evaluar la eficacia de la autorregulación del aprendizaje en los entornos virtuales en programas de pregrado y posgrado de una universidad colombiana. Metodología: cuantitativa con estadística descriptiva y correlacional aplicada a tres momentos del acto formativo y a tres fases de la autorregulación del aprendizaje. La muestra fue de ocho profesores y 533 estudiantes de seis programas académicos virtuales. Resultados: se encontró una ruptura en los tres momentos del acto formativo, lo que limitó el desarrollo del ciclo de autorregulación del aprendizaje. Las variables: previsión, ejecución, autorreflexión fueron significativas para su medición y las de mayor influencia en los procesos autorregulatorios se relacionaron con el nivel de formación en tres pregrados y tres posgrados. Para la universidad estudiada el Índice de Autoeficacia tuvo un valor de 0.31. Conclusiones: se evidencia una problemática asociada a factores pedagógicos, tecnológicos, comunicativos y/o de gestión educativa, que reducen la intencionalidad formativa para que el estudiante alcance autonomía. Es importante investigar y medir de manera holística la autorregulación del aprendizaje en entornos virtuales como proceso y acto formativo. El índice de autoeficacia es aplicable en otras investigaciones en entornos virtuales de aprendizaje.Introducction: Self-regulated learning is the student’s ability to take control of their own learning, through the conscious choice of cognitive and metacognitive strategies. In virtuality, this competence becomes a determining factor to achieve autonomy that can improve student interactions in virtual learning environments. Objetive: evaluate the effectiveness of self-regulation of learning in virtual environments in undergraduate and graduate programs from a Colombian university. Methodology: quantitative with descriptive and correlational statis- tics applied to three moments of the training event and three phases of self-regulation of learning. The sample was eight teachers and 533 students from six virtual academic programs. Results: A rupture was found in the three moments of the training event, which limited the development of the self-regulation cycle of learning. The variables: foresight, execution, self-reflection was significant for measurement and those with the greatest influence on self-regulatory processes were related to the level of training in three undergraduate and three postgraduate degrees. For the university studied, the Self-Efficacy Index had a value of 0.31. Conclusions: There is evidence of a pro- blem in educational management associated with pedagogical, tech- nological, communicative and/or management factors, which reduce the formative intention so that the student achieves autonomy. It is important to holistically investigate and measure the self-regulation of learning in virtual environments, as a process and formative act. The self-efficacy index is applicable in other investigations in virtual learning environments.application/pdfspaUniversidad de la CostaCultura Educación Sociedad - 2024https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/view/4628self-regulationlearningonline learningself-efficacyhigher educationAutorregulaciónaprendizajeaprendizaje en líneaautoeficaciaenseñanza superiorEvaluación de la eficacia de la autorregulación del aprendizaje en los entornos virtuales en educación superiorEvaluation of the effectiveness of self-regulation of learning in virtual environments in higher educationArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Cultura Educación SociedadAl-Hawamleh, M. S., Alazemi, A., Al-Jamal, D., Shdaifat, S., Rezaei, Z. (2022). Online Lear- ning and Self-Regulation Strategies: Learning Guides Matter. Education Research In- ternational, 1(31), 1-8. https://doi.org/10.1155/2022/4175854 Apridayani, A., Hanb, W & Waluyo, B (2023). Understanding students’ self-regulated lear- ning and anxiety in online English courses in higher education. Heliyon. Volumen 9. Volumen 9, Número 6. https://doi.org/10.1016/j.heliyon.2023.e17469 Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (Vol. 5, pp. 307-337). Greenwich, CT: Infor- mation Age Publishing. http://www.sciepub.com/reference/181510 Breiman, L. (2001). Random Forests. The University of Berkley, California. https://www .stat.berkeley.edu/~breiman/randomforest2001.pdf. Bylieva, D., Hong, J. C., Lobatyuk, V., Nam, T. (2021). Self-Regulation in E-Learning Envi- ronment. Educ. Sci., 11, 785. https://doi.org/ 10.3390/educsci11120785 Carneiro, J., Toscano, J. C. y Diaz, T. (2021). Los desafíos de las TIC para el cambio educa- tivo. Fundación Santillana. Organización de Estados Iberoamericanos (OEI). https:// www.oei.es/uploads/files/microsites/28/140/lastic2.pdf Cassidy, S. (2011). Self-regulated learning in higher education: Identifying key component processes. Studies in Higher Education, 36(8), 989-1000.https://doi.org/10.1080 /03075079.2010.503269 Castro Méndez, N., Suárez Cretton, X. & Rivera Olguín, P. (2021). Self-regulation strategies used by university students in virtual environments and academic satisfaction achieved in a pandemic. Rev. Mendive, 19(4), 1127-1141. https://mendive.upr.edu.cu/index .php/MendiveUPR/article/view/2555 Coll, C. (2005). Lectura y alfabetismo en la Sociedad de la información. Revista sobre la So- ciedad del conocimiento https://www.uoc.edu/uocpapers/1/dt/esp/coll.pdf Chao-Hong, J., Fang Lee, Y. & Hong Ye, J. (2021). Procrastination predicts online self-regu- lated learning and online learning ineffectiveness during the coronavirus lockdown. Per- sonality and Individual Differences, 174 https://doi.org/10.1016/j.paid.2021.110673 Dang, S. & Koedinger, K. (2020, 25-27 de marzo). Opportunities for Human-AI Collaborative Tools to Advance Development of Motivation Analytics. [Workshop]. 10th International Conference on Learning Analytics & Knowledge (LAK20). https://www.stevencdang .com/_files/ugd/c1d7a7_b3d31dbef40940d196962a037ea4923d.pdf Dillenbourg, P., Schneider, D. K., & Synteta, P. (2002). Virtual Learning Environments. In A. Dimitracopoulou (Ed). Proceedings of the 3rd Hellenic Conference “Information & Communication Technologies in Education” (pp. 3-18). Kastaniotis Editions Greece. https://www.academia.edu/2863196/Virtual_learning_environments Duque, N., Ovalle, D. y Moreno, J. (2017). Tecnologías para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos. Publicaciones Universidad Nacio- nal de Colombia. https://catalogo.juanncorpas.edu.co/cgi-bin/koha/opac-detail.pl ?biblionumber=13979 Dubovi, I (2023). Facial expressions capturing emotional engagement while learning with desktop VR: the impact of emotional regulation and personality traits.. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2208173 Eggers, J. H., Oostdam, R., & Voogt, J. (2021). Self-regulation strategies in blended lear- ning environments in higher education: A systematic review. Australasian Journal of Educational Technology, 37(6), 175–192. https://doi.org/10.14742/ajet.6453 Flores-Rivas, V. y Márquez, L. (2020). Logros de aprendizaje, herramientas tecnológi- cas y autorregulación del aprendizaje en tiempos de Covid 19. Journal of Business and Entrepreneurial Studies, 4(3), 102-109. https://www.redalyc.org/journal/5736 /573667939007/ Funa, A., Gabay, R., Deblois, E., Lerios, l & Jetorno, F. (2023). Exploring Filipino preser- vice teachers’ online self-regulated learning skills and strategies amid the COVID-19 pandemic. Elsevier. https://doi.org/10.1016/j.ssaho.2023.100470 García, M. L. (2023). La formación en capacidades humanas en educación virtual. Fondo Editorial Universidad de Manizales. García-Marcos, C., López-Vargas, O. y Cabrero-Almenara, J. (2020). Autorregulación del aprendizaje en la formación profesional a distancia: efectos de la gestión del tiempo. Revista de Educación a Distancia, 20(62) http://dx.doi.org/10.6018/red.400071. Garzón, A. y Díaz, P. (2021). Towards best practices in online learning: fostering student self-regulation. Administración & Desarrollo, 51(1),4-27. https://doi.org/10.22431 /25005227.vol51n1.1 Harrak, F., Bouchet, F., Luengo, V., & Bachelet, R. (2019, 2-5 de julio). Automatic Identi- fication of Questions in MOOC Forums and Association with Self-Regulated Learning [Sesiónd de congreso]. Educational Data Mining, Montréal, Canada. ffhal-02157335f https://hal.archives-ouvertes.fr/hal-02157335/document Hernández, V. M., Santana, P. J. y Sosa, J. J. (2021). Feedback y autorregulación del apren- dizaje en educación superior. Revista de Investigación Educativa, 39(1), 227-248. http://dx.doi.org/10.6018/rie.423341 Huang, X., Li, Z, S., Wang, T & Pain, Z. (2023). Exploring the co-occurrence of students’ learning behaviours and reasoning processes in an intelligent tutoring system: An epis- temic network analysis. Journal of Computer Assisted Learning https://doi.org/10 .1111/jcal.12827 Jafarova, O., Mazhirina, K., Sokhadze, E., & Shtark, M. (2020). Self-regulation Strategies and Heart Rate Biofeedback Training. Applied Psychophysiology and Biofeedback, 45, 87–98. https://doi.org/10.1007/s10484-020-09460-5 Jin, S., Yoo,M & Seo, K. (2023). Supporting students’ self-regulated learning in online lear- ning using artifcial intelligence applications. International Journal of Educational Te- chnology in Higher Education. https://doi.org/10.1186/s41239-023-00406-5 Junastikova, J. (2023). Self-regulation of learning in the context of modern technology: a review of empirical studies. Interactive Technology and Smart Education. https:// www.emerald.com/insight/content/doi/10.1108/ITSE-02-2023-0030/full/html Landau, M., Sabulsky, G., & Schwartzman, G. (2021). Hacia nuevos horizontes en las clases universitarias en contextos emergentes. Contribuciones de la tecnología educativa. Vir- tualidad, Educación y Ciencia, 12(24), 9–24. https://revistas.unc.edu.ar/index.php /vesc/article/view/36279 Le, B., Lawrie, G. A., & Wang, J. (2022). Student Self-perception on Digital Literacy in STEM Blended Learning Environments. J Sci Educ Technol, 31, 303-321. https:// doi.org/10.1007/s10956-022-09956-1 Lévy, P. (2004). Inteligencia colectiva: por una antropología del ciberespacio. Organiza- ción Panamericana de la Salud. https://ciudadanosconstituyentes.files.wordpress .com/2016/05/lc3a9vy-pierre-inteligencia-colectiva-por-una-antropologc3ada-del -ciberespacio-2004.pdf Li, Q., Xu, D., Baker, R., Holton, A and Warschauer, M. (2022). Can student-facing analytics improve online students’ effort and success by affecting how they explain the cause of past performance?, Comput. Educ., vol. 185, pp. 104517. https://doi.org/10.1016 /j.compedu.2022.104517 Maldonado-Mahauad, J., Hilliger, D., Laet, T., Millecamp, M., Verbert, K., Ochoa, X., & Pé- rez-Sanagustín, M. (2018, 7-9 de marzo). Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America (LALA). [Supplementary Proceedings]. 8th International Conference on Learning Analytics and Knowledge (LAK18) Martínez, L. F, y Gaeta, M. L. (2019). Utilización de la plataforma virtual Moodle para el desarrollo del aprendizaje autorregulado en estudiantes universitarios. Educar, 55(2), 479-498. https://educar.uab.cat/article/view/v55-n2-martinez-sarmiento-gaeta/883 -pdf-es Matcha, W., Gasevi, D., Ahmad, N., Jovanovic, J., Pardo, A., Lim, L., Maldonado-Mahauad, J., Gentili, S., Heridan, Perez-Sanagust, M., & Tsai, Y. (2020). Analytics of Learning Strategies: Role of Course Design and Delivery Modality. Journal of learning analitycs, 7(2), 45–71. http://dx.doi.org/10.18608/jla.2020.72.3 Mo, T. Y. (2021). El aprendizaje en línea en tiempos de la crisis del COVID-19: Implicaciones para el aprendizaje autorregulado de estudiantes universitarios de diseño. Aprendizaje Activo en la Educación Superior. doi: 10.1177/14697874211051226 Montgomery, D. (2004). Diseño y análisis de experimentos. John Wiley & Sons. More- no-Marcos, P., Merino, P., Maldonado, J., Pérez-Sanagustín, M., Alario-Hoyos, C., & Delgado Kloos, C. (2019). Temporal analysis for dropout prediction using self-regula- ted learning strategies in self-paced MOOCs. Computers & Education, 145. https:// doi.org/10.1016/j.compedu.2019.103728. Muhittin, S & Halil, Y. (2022). Learners’ Needs in Online Learning Environments and Third Generation Learning Management Systems (LMS 3.0). Technology, Knowledge and Learning, v27 n1 p33-48 Mar 2022. https://eric.ed.gov/?id=EJ1327212 Özdal, H., Özden, C., Güneyli, A., & Atasoy, R. (2022). Effectiveness of self-regulated Learning skills on web-based instruction attitudes in online environments. Pegem Journal of Edu- cation and Instruction, 12(1), 182–193. https://doi.org/10.47750/pegegog.12.01.18 Pham, T., Lai, P & Nguyen, V. (2021). Exploring Relationships Between Learners’ Inter- net Self-efficacy, Online Self-Regulation, and Interaction during Online Learning amid COVID-19 in Vietnam. https://doi.org/10.2991/assehr.k.211224.013 Panadero, P. y Alonso-Tapia, J. (2014). Teorías de autorregulación educativa: una compara- ción y reflexión teórica. Contrasting self-regulation educational theories: A theoretical review. Psicología Educativa, 20(Issue 1), 11-22. https://doi.org/10.1016/j.pse.2014 .05.002 Perez-Álvarez, R., Maldonado-Mahauad, J., Pérez-Sanagustín, M. (2018, 3-5 sep.).Tools to Support Self-regulated Learning in Online Environments: Literature Review [Procee- ding]. 13th European Conference on Technology Enhanced Learning, EC-TEL. https:// doi.org/10.1007/978-3-319-98572-5_2 Pedrotti, M & Nistor, N. (2019). How Students Fail to Self-regulate Their Online Learning Experience. https://link.springer.com/chapter/10.1007/978-3-030-29736-7_28 Pineda, J & Jr, M. (2023). Self-regulation among state university students in an online lear- ning environment. International Journal of Social Science And Human Research. Vo- lume 06. DOI: 10.47191/ijsshr/v6-i6-15, Impact factor- 6.686. https://ijsshr.in/v6i6 /Doc/15.pdf Pintrich, P. R. (2003). A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts. Journal of Educational Psychology, 95(4), 667– 686. https://doi.org/10.1037/0022-0663.95.4.667 Puya Lino, A., Ruíz Rabasco, Y., & García Espinoza, M. (2021). Autorregulación académica y aprendizaje autónomo en la enseñanza virtual de la carrera de Educación Básica de la Universidad Estatal Península de Santa Elena. Revista Ciencias Pedagógicas e Innova- ción, 9(2), 33-39. https://doi.org/10.26423/rcpi.v9i2.426 Reyna, M. (2023). Entornos virtuales y aprendizaje colaborativo. Nuevas tendencias. Re- vista de la Universidad del Zulia, Vol. 14, No. 39, 333-354 DOI: http://dx.doi.org/10 .46925//rdluz.39.18 Rivera-Vargas, P., Anderson, T. & Cano, C. A. (2021). Exploring Students’ learning Expe- rience in Online Education: Analysis and Improvement Proposals Based on the Case of a Spanish Open Learning University. Education Tech Research Dev, 69, 3367–3389. https://doi.org/10.1007/s11423-021-10045-0 Şahin, M., & Yurdugül, H. (2020). Learners’ Needs in Online Learning Environments and Third Generation Learning Management Systems (LMS 3.0). Tech Know Learn 27, 33– 48. https://doi.org/10.1007/s10758-020-09479-x. Saiz-Manzanares, M., Almeida, L., Aton, M., Carbonero, L., Valdivieso-Burón, M., (2022). Teacher Training Effectiveness in Self-Regulation in Virtual Environments. Frontiers in Psychology. 13. 776806. 10.3389/fpsyg.2022.776806. Salazar, I., & Heredia-Escorza, Y. (2019). Estrategias de aprendizaje y desempeño académi- co en estudiantes de Medicina. Educación Médica, 20(4), 256-262 https://doi.org/10 .1016/j.edumed.2018.12.005 Schunk, D. H., & Zimmerman, B. J. (2003). Self-regulation and learning. In W. M. Reynolds & G. E. Miller (Eds.), Handbook of psychology: educational psychology, Vol. 7, pp. 59– 78). John Wiley & Sons Inc. https://psycnet.apa.org/record/2003-04684-004 Shafaq, S., Ali. A., Memon, F., Ahmad, A., & Soomro, A. (2021). Aprendizaje en línea du- rante la pandemia del COVID-19: aplicación de la teoría de la autodeterminación en la ‘nueva normalidad’. Revista de Psicodidáctica, 26(Issue 2), 169-178. https://doi.org /10.1016/j.psicoe.2020.12.003 Stephen, J., & Rockinson-Szapkiw, A. (2021). A high-impact Practice for Online Stu- dents: the use of a First-semester Seminar Course to Promote Self-regulation, Self-direction, Online Learning Self-efficacy. Smart Learn. Environ. 8, 6. https:// doi.org/10.1186/s40561-021-00151-0 Sutarni, N., Ramdhany, M. A., Hufad, A., Kurniawan. E. (2021). Self-regulated Learning and Digital Learning Environment: its’ Effect on Academic Achievement During the Pandemic. Journal Ilmiah Pendidikan, 40(2), 374-388. https://journal.uny.ac.id /index.php/cp/article/view/40718 Stephen, J & Rockinson-Szapkiw, A. (2021). A high-impact practice for online students: the use of a first-semester seminar course to promote self-regulation, self-direction, online learning self-efficacy. https://slejournal.springeropen.com/articles/10.1186/s40561 -021-00151-0 Tawfik, A. A., Gatewood, J., Gish-Lieberman, J. J., Hampton, A. (2021). Toward a Defini- tion of Learning Experience Design. Tech Know Learn 27, 309–334. https://doi.org /10.1007/s10758-020-09482-2 Tohadurin, U., Rahmat, A., & Kurniawan, S. (2019). The Important of Self-efficacy and Self-regulation in Learning: How should a Student be? Journal of Physics: Conference Series 1157(Issue2). https://doi.org/10.1088/1742-6596/1157/2/022074 Tur, G., Ramírez-Mera, U., & Marín, V. I. (2021). Aprendizaje autorregulado y entornos personales de aprendizaje en la formación inicial docente: percepciones del alumnado y propuestas de herramientas y recursos. Revista Complutense de Educación, 33(1), 41- 55. https://doi.org/10.5209/rced.71002 Villada, D., Grisales, M.C., Prada, D., Ocampo, J., García, M.L y Villada, M. (2018). Auto- rregulación e investigación: habilidades en trayecto. Fondo editorial, Universidad de Manizales. https://ridum.umanizales.edu.co/xmlui/handle/20.500.12746/5566 Wang, H., Li, D., Gu, C., Wei, W., Chen, J. (2023). Research on high school students’ beha- vior in art course within a virtual learning environment based on SVVR. Frontiers in Psychology. vol. 14, pp. 10.3389/fpsyg.2023.1218959 Wong, F., Baars, M., He, M., Koning, B & Pass, F. (2021). Facilitating Goal Setting and Planning to Enhance Online Self-regulation of Learning. Computers in Human Beha- vior, 124, 106913. https://doi.org/10.1016/j.chb.2021.106913. Yılmaz, Y. (2022). Structural Equation Modelling Analysis of the Relationships Among Uni- versity Students’ Online Self-Regulation Skills, Satisfaction and Perceived Learning. Participatory Educational Research, 9(3), 1-22. https://doi.org/10.17275/per.22.51.9.3 Yonghai, Z., Shengmei, X., Wenguang, W., Zhang, L., Liu, D., Liu, Z &Xu, Y. (2022). The impact of Online and Offline Learning motivation on learning performance: the media- ting role of positive academic emotion. Education and Information Technologies. Vol. 27, No. 7https://dl.acm.org/doi/abs/10.1007/s10639-022-10961-5 Zhang, R., & Zou, D. (2022). Self-regulated Second Language Learning: a Review of Types and Benefits of Strategies, Modes of Teacher Support, and Pedagogical Implications. Computer Assisted Language Learning https://doi.org/10.1080/09588221.2022 .2055081. Zhu, Y., Xu, S., Wang, W., Zhabg, L., Liu, D., Liu, Z., & Xu, Y. (2022). The impact of Online and Offline Learning Motivation on Learning Performance: the Mediating Role of Positive Academic Emotion. Educ Inf Technol, 27(7), 8921-8938. https:// doi.org/10.1007/s10639-022-10961-5 Zimmerman, B.J. (1989). A social cognitive view of self-regulated academic learning. Jour- nal of Educational Psychology, 81(3), 329–339. https://doi.org/10.1037/0022-0663 .81.3.329 Zimmerman, B. J. (2000). Attaining Self-Regulation: A Social Cognitive Perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 13- 39). Academic Press. http://dx.doi.org/10.1016/B978-012109890-2/50031-7 Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice 41(2):64-70. DOI:10.1207/s15430421tip4102_2 Zimmerman, B. J., & Kitsantas, A. (2002). Acquiring writing revision and self-regulatory skill through observation and emulation. Journal of Educational Psychology, 94(4), 660–668. https://doi.org/10.1037/0022-0663.94.4.660e34454628e34454628215https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/4628/5443Núm. 2 , Año 2024 : Cultura Educación Y SociedadOREORE.xmltext/xml2823https://repositorio.cuc.edu.co/bitstreams/b25081de-c2ca-4c93-8a4a-6610390129c7/downloadd625ea2f613b0eaab00d827aee23a9d2MD5111323/13725oai:repositorio.cuc.edu.co:11323/137252024-11-20 03:00:15.905https://creativecommons.org/licenses/by-nc-nd/4.0/Cultura Educación Sociedad - 2024metadata.onlyhttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.co