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...
- 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
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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 |
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Text |
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info:eu-repo/semantics/article |
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Journal article |
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http://purl.org/redcol/resource_type/ART |
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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 |
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2389-7724 |
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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 |
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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 |