Analítica de los aprendizajes a través del empleo de mapas conceptuales en cursos virtuales.

Autores/as

DOI:

https://doi.org/10.56375/ve4.2-46

Palabras clave:

Mapa conceptual, analítica del aprendizaje, aprendizaje activo, interacción no humana, aprendizaje en línea

Resumen

Recientemente, la utilización de plataformas de aprendizaje en línea ha crecido de manera notable. Una de las principales ventajas de este tipo de educación es la posibilidad de interacción entre los alumnos. La adopción de estrategias de aprendizaje activo fomenta la participación estudiantil y la interacción con el material de estudio. El objetivo de este estudio fue identificar cuáles actividades estudiantiles potencian su aprendizaje. Se destacó que todas estas actividades involucraban interacciones no humanas, como la elaboración de mapas conceptuales. Los estudiantes registraron sus actividades en la plataforma LMS, lo que permitió el uso de estos datos para un análisis detallado mediante técnicas de regresión lineal. Los resultados del estudio confirmaron que el uso de mapas conceptuales es efectivo para mejorar los resultados educativos de los alumnos.

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Citas

Al Mamun, M. A., & Lawrie, G. (2023). Student-content interactions: Exploring behavioural engagement with self-regulated inquiry-based online learning modules. Smart learning environments, 10(1), 1. https://doi.org/10.1186/s40561-022-00221-x

Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics, 37, 13-49. https://doi.org/10.1016/j.tele.2019.01.007

Aşıksoy, G. (2019). Computer-based concept mapping as a method for enhancing the effectiveness of concept learning in technology-enhanced learning. Sustainability, 11(4), 1005. https://doi.org/10.3390/su11041005

Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic analytics: A new tool for a new era. EDUCAUSE review, 42(4), 40. https://er.educause.edu/articles/2007/7/academic-analytics-a-new-tool-for-a-new-era

Chaw, L. Y., & Tang, C. M. (2018). What makes learning management systems effective for learning?. Journal of Educational Technology Systems, 47(2), 152-169. https://doi.org/10.1177/0047239518795828

Dennen, V. P. (2018). Frameworks for designing and analyzing learning: Activity interactions in online courses. In Handbook of distance education (pp. 244-259). Routledge.

Fernández-Morante, C., Cebreiro-López, B., Rodríguez-Malmierca, M. J., & Casal-Otero, L. (2021). Adaptive learning supported by learning analytics for student teachers’ personalized training during in-school practices. Sustainability, 14(1), 124. https://doi.org/10.3390/su14010124

Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational psychology review, 28, 717-741. https://doi.org/10.1007/s10648-015-9348-9

Ghilay, Y. (2019). Effectiveness of learning management systems in higher education: Views of lecturers with different levels of activity in LMSs. Ghilay, Y. (2019). Effectiveness of Learning Management Systems in Higher Education: Views of Lecturers with Different Levels of Activity in LMSs. Journal of Online Higher Education, 3(2), 29-50. https://ssrn.com/abstract=3736748

H. Kauffman, (2015) “A Review of Predictive Factors of Student Success in and Satisfaction with Online Learning,” Research in Learning Technology, 23. https://doi.org/10.3402/rlt.v23.26507

Husain, S.A. (2022). The Effectiveness of CANVAS Learning Management System for Teaching Undergraduate Mathematics During COVID-19 Pandemic. In: Abdul Karim, S.A., Husain, S.A. (eds) Engineering and Sciences Teaching and Learning Activities. Studies in Systems, Decision and Control, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-030-79614-3_6

Islim, O. (2018). Mapas conceptuales colaborativos apoyados por tecnología en las aulas. Aprendizaje activo en la educación superior, 19, 131 - 143. https://doi.org/10.1177/1469787417723231

Jin, S. H., Im, K., Yoo, M., Roll, I., & Seo, K. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education, 20(1), 37. https://doi.org/10.1186/s41239-023-00406-5

Lee, L. K., Cheung, S. K., & Kwok, L. F. (2020). Learning analytics: Current trends and innovative practices. Journal of Computers in Education, 7, 1-6. https://doi.org/10.1007/s40692-020-00155-8

Limongelli, C., Marani, A., Sciarrone, F., y Temperini, M. (2022). Medición de la similitud de mapas conceptuales según criterios pedagógicos. IEEE Access, 1-1. https://doi.org/10.1109/access.2022.3156662

Lu, O. H., Huang, A. Y., Huang, J. C., Lin, A. J., Ogata, H., & Yang, S. J. (2018). Applying learning analytics for the early prediction of Students' academic performance in blended learning. Journal of Educational Technology & Society, 21(2), 220-232. https://www.jstor.org/stable/26388400

Moore, T. (2015). Redefining Interactivity in E-Learning. http://hdl.handle.net/10150/556210

Rayens, W., & Ellis, A. (2018). Creating a student-centered learning environment online. Journal of Statistics Education, 26(2), 92-102. https://doi.org/10.1080/10691898.2018.1475205

Roelle, J., Endres, T., Abel, R., Obergassel, N., Nückles, M., & Renkl, A. (2023). Happy together? On the relationship between research on retrieval practice and generative learning using the case of follow-up learning tasks. Educational Psychology Review, 35(4), 102.

Schumacher, C., & Ifenthaler, D. (2018). The importance of students’ motivational dispositions for designing learning analytics. Journal of Computing in Higher Education, 30(3), 599-619. https://doi.org/10.1007/s12528-018-9188-y

Sharif, H., & Atif, A. (2024). The Evolving Classroom: How Learning Analytics Is Shaping the Future of Education and Feedback Mechanisms. Education Sciences, 14(2), 176. https://doi.org/10.3390/educsci14020176

Sumardi, D., Suryani, N., & Musadad, A. A. (2021). Website-based learning management system (LMS) as a tool for learning in the covid-19 pandemic period for Junior High Schools. Journal of Education Technology, 5(3), 346-355. https://dx.doi.org/10.23887/jet.v5i3.38371

Wang, S., Shi, G., Lu, M., Lin, R., & Yang, J. (2021). Determinants of active online learning in the smart learning environment: An empirical study with PLS-SEM. Sustainability, 13(17), 9923. https://doi.org/10.3390/su13179923

Wittrock, (1974). “Learning as a Generative Process,” Educational Psycchologist, 37(1), pp. 35-46. https://doi.org/10.1080/00461520903433554.

Zainuddin, Z., & Perera, C. J. (2018). Supporting students’ self-directed learning in the flipped classroom through the LMS TES BlendSpace. On the Horizon, 26(4), 281-290. https://doi.org/10.1108/OTH-04-2017-0016

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Publicado

2025-08-22

Cómo citar

Vázquez, M. de J. (2025). Analítica de los aprendizajes a través del empleo de mapas conceptuales en cursos virtuales. VECTORES, 4(2). https://doi.org/10.56375/ve4.2-46

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