El engagement y la deserción en los MOOCsRevisión sistemática

  1. Odiel Estrada Molina
  2. Dieter Reynaldo Fuentes Cancell
Revista:
Comunicar: Revista Científica de Comunicación y Educación

ISSN: 1134-3478

Año de publicación: 2022

Título del ejemplar: Nuevos retos del profesorado ante la enseñanza digital

Número: 70

Páginas: 111-124

Tipo: Artículo

DOI: 10.3916/C70-2022-09 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Comunicar: Revista Científica de Comunicación y Educación

Resumen

Los cursos en línea masivos y abiertos (MOOCs) permiten satisfacer necesidades de aprendizaje desde las particularidades de sus tipologías (xMOOC, tMOOC, cMOOC, iMOOC, entre otras), sin embargo, es aún latente su alta tasa de deserción. Estudios recientes reafirman el engagement como una alternativa para disminuir los índices de deserción. La literatura analizada aún no logra sistematizar respuestas a ¿cómo garantizar el engagement en los MOOCs y disminuir así su tasa de deserción? Y, en coherencia con esa pregunta, ¿existen aún retos del profesorado en este ámbito de la tecnología educativa? Ello motivó a realizar esta revisión sistemática para determinar cómo se ha trabajado el engagement para contribuir a disminuir la tasa de deserción en los MOOCs. Se revisaron artículos de revistas indexadas en Scopus o en WoS aplicando el protocolo PRISMA. Al finalizar el protocolo se definió analizar 40 estudios. Los resultados reflejan que las principales variables son: el diseño e-actividades; la motivación intrínseca y extrínseca y; la comunicación entre los estudiantes. Se ratifica que los principales retos para garantizar el engagement en los MOOCs son: la tutoría individualizada; la interactividad; y la retroalimentación. Debido a la escasez de estudios que analicen de forma integrada las variables antes mencionadas, se propone como trabajo futuro, determinar qué relaciones existen entre estas variables que intervienen en el engagement y la deserción en los MOOCs.

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Información de financiación

Financiadores

  • Universidad de las Ciencias Informáticas

Referencias bibliográficas

  • Acosta, E., Escribano, J.J., & Valderrama, F.G. (2014). Motivación en la educación masiva online Desarrollo y experimentación de un sistema de acreditaciones para los MOOC. Digital Education Review, 25(1), 18-35. https://doi.org/10.13140/2.1.3737.6641
  • Adam, T. (2020). Open educational practices of MOOC designers: Embodiment and epistemic location. Distance Education, 41(2), 171-185. https://doi.org/10.1080/01587919.2020.1757405
  • Almatrafi, O., & Johri, A. (2019). Systematic review of discussion forums in Massive Open Online Courses (MOOCs). IEEE Transactions on Learning Technologies, 12(3), 413-428. https://doi.org/10.1109/TLT.2018.2859304
  • Alturkistani, A., Lam, C., Foley, K., Stenfors, T., Blum, E.R., Velthoven, M.H.V., & Meinert, E. (2020). Massive Open Online Course evaluation methods: Systematic review. Journal of Medical Internet Research, 22(4).
  • Antonaci, A., Klemke, R., Lataster, J., Kreijns, K., & Specht, M. (2019). Gamification of MOOCs adopting social presence and sense of community to increase user’s engagement: An experimental study. In M. Scheffel, J. Broisin, V. Pammer-Schindler, A. Ioannou, & J. Schneider (Eds.), Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science, vol 11722 (pp. 172-186). Springer. https://doi.org/10.1007/978-3-030-29736-7_13
  • Araka, E., Maina, E., Gitonga, R., & Oboko, R. (2008). Research trends in measurement and intervention tools for self-regulated learning for e-learning environments-systematic review. Research and Practice in Technology Enhanced Learning, (pp. 15-15). https://doi.org/10.1186/s41039-020-00129-5
  • Ballesteros, M.L., Mercado, M.A., García, N.J., & Glasserman, L.D. (2020). Teacher professional learning experiences in mooc: Teachers from sonora, Mexico who participated in the key learning collection. Texto Livre, 13(3), 79-102. https://doi.org/10.35699/1983-3652.2020.25099
  • Blum-Smith, S., Yurkofsky, M.M., & Brennan, K. (2021). Stepping back and stepping in: Facilitating learner-centered experiences in MOOCs. Computers and Education, 160. https://doi.org/10.1016/j.compedu.2020.104042
  • Cabero-Almenara, J., & Palacios-Rodríguez, A. (2021). La evaluación de la educación virtual: Las e-actividades. RIED, 24, 169-188. https://doi.org/10.5944/ried.24.2.28994, https://doi.org/10.5944/ried.24.2.28994
  • Cornelius, S., Calder, C., & Mtika, P. (2019). Understanding learner engagement on a blended course including a MOOC. Research in Learning Technology, 27. https://doi.org/10.25304/rlt.v27.2097
  • Dai, H.M., Teo, T., Rappa, N.A., & Huang, F. (2020). Explaining Chinese university students’ continuance learning intention in the MOOC setting: A modified expectation confirmation model perspective. Computers and Education, 150. https://doi.org/10.1016/j.compedu.2020.103850
  • Dale, V.H., & Singer, J. (2019). Learner experiences of a blended course incorporating a MOOC on Haskell functional programming. Research in Learning Technology, 27. https://doi.org/10.25304/rlt.v27.2248
  • Deng, R., Benckendorff, P., & Gannaway, D. (2020). Learner engagement in MOOCs: Scale development and validation. British Journal of Educational Technology, 51(1), 245-262. https://doi.org/10.1111/bjet.12810
  • Deshpande, A., & Chukhlomin, V. (2017). What makes a good MOOC: A field study of factors impacting student motivation to learn. American Journal of Distance Education, 31(4), 275-293. https://doi.org/10.1080/08923647.2017.1377513
  • Díaz-Iso, A., Eizaguirre, A., & García-Olalla, A. (2020). A systematic review of the concept of extracurricular activity in higher education. Educacion XX1, 1, 307-335. https://doi.org/10.5944/educxx1.25765
  • Doo, M.Y., Tang, Y., Bonk, C.J., & Zhu, M. (2020). MOOC instructor motivation and career development. Distance Education, 41(1), 26-47. https://doi.org/10.1080/01587919.2020.1724770
  • Doo, M.Y., Zhu, M., Bonk, C.J., & Tang, Y. (2020). The effects of openness, altruism and instructional self-efficacy on work engagement of MOOC instructors. British Journal of Educational Technology, 51(3), 743-760. https://doi.org/10.1111/bjet.12882
  • Douglas, K.A., Merzdorf, H.E., Hicks, N.M., Sarfraz, M.I., & Bermel, P. (2020). Challenges to assessing motivation in MOOC learners: An application of an argument-based approach. Computers and Education, 150, 103829. https://doi.org/10.1016/j.compedu.2020.103829
  • Er, E., Gómez-Sánchez, E., Bote-Lorenzo, M.L., Dimitriadis, Y., & Asensio-Pérez, J.I. (2020). Generating actionable predictions regarding MOOC learners’ engagement in peer reviews. Behaviour and Information Technology, 39(12), 1356-1373. https://doi.org/10.1080/0144929X.2019.1669222
  • Escudero-Nahón, A., & Núñez-Urbina, A.A. (2019). Fundamentos teóricos para la transformación de los “Massive Open Online Courses” hacia “Customizable Open Online Courses. EDMETIC, 8(2), 129-149. https://doi.org/10.21071/edmetic.v8i2.10988
  • Feitosa, V., Alexandre, C., & Noronha, A.B. (2021). The use of Massive Open Online Courses (MOOCs) in blended learning courses and the functional value perceived by students. Computers and Education, 161. https://doi.org/10.1016/j.compedu.2020.104077
  • Firat, M., Kilinç, H., & Yüzer, T.V. (2018). Level of intrinsic motivation of distance education students in e-learning environments. Journal of Computer Assisted Learning, 34(1), 63-70. https://doi.org/10.1111/jcal.12214
  • Foley, K., Alturkistani, A., Carter, A., Stenfors, T., Blum, E., Car, J., Majeed, A., Brindley, D., & Meinert, E. (2019). Massive open online courses (MOOC) evaluation methods: Protocol for a systematic review. JMIR Research Protocols, 8(3). https://doi.org/10.2196/13851
  • Fuentes-Cancell, D., Estrada-Molina, O., & Delgado-Yanes, N. (2021). Las redes sociales digitales: Una valoración socioeducativa. Revisión sistemática. Revista Fuentes, 23(1), 41-52. https://doi.org/10.12795/revistafuentes.2021.v23.i1.11947
  • Galikyan, I., Admiraal, W., & Kester, L. (2021). MOOC discussion forums: The interplay of the cognitive and the social. Computers and Education, 165. https://doi.org/10.1016/j.compedu.2021.104133
  • Gallego-Romero, J.M., Alario-Hoyos, C., Estévez-Ayres, I., & Kloos, C.D. (2020). Analyzing learners’ engagement and behavior in MOOCs on programming with the Codeboard IDE. Educational Technology Research and Development, 68(5), 2505-2528. https://doi.org/10.1007/s11423-020-09773-6
  • Gordillo, A., López-Pernas, S., & Barra, E. (2019). Effectiveness of MOOCs for teachers in safe ICT use training. [Efectividad de los MOOC para docentes en el uso seguro de las TIC]. Comunicar, 61, 98-107. https://doi.org/10.3916/C61-2019-09
  • Gros-Salvat, B. (2018). La evolución del e-learning: Del aula virtual a la red. RIED, 21(2), 69-82. https://doi.org/10.5944/ried.21.2.20577
  • Jarnac, M., & Mira, M. (2020). Systematic literature review about gamification in MOOCs. Open Learning, (pp. 1-23). https://doi.org/10.1080/02680513.2020.1798221
  • Jiménez, J.R. (2017). Integración de un curso MOOC y de un PLN-PLE en un curso presencial sobre fundamentos de la programación. RED, (pp. 1-17). https://doi.org/10.6018/red/53/11
  • Joksimovi, S., Dowell, N., Poquet, O., Kovanovi, V., Gasevi, D., Dawson, S., & Graesser, A.C. (2018). Exploring development of social capital in a CMOOC through language and discourse. Internet and Higher Education, 36, 54-64. https://doi.org/10.1016/j.iheduc.2017.09.004
  • Joksimovi, S., Poquet, O., Kovanovi, V., Dowell, N., Mills, C., Gasevi, D., Dawson, S., Graesser, A.C., & Brooks, C. (2018). How do we model learning at scale? A systematic review of research on moocs. Review of Educational Research, 88(1), 43-86. https://doi.org/10.3102/0034654317740335
  • Kasch, J., Van-Rosmalen, P., Löhr, A., Klemke, R., Antonaci, A., & Kalz, M. (2021). Students’ perceptions of the peer-feedback experience in MOOCs. Distance Education, 42(1), 145-163. https://doi.org/10.1080/01587919.2020.1869522
  • Khalid, A., Lundqvist, K., & Yates, A. (2020). Recommender systems for MOOCs: A systematic literature survey. International Review of Research in Open and Distance Learning, 21, 256-291. https://doi.org/10.19173/IRRODL.V21I4.4643
  • Kovanovi, V., Joksimovi, S., Poquet, O., Hennis, T., De-Vries, P., Hatala, M., Dawson, S., Siemens, G., & Gasevi, D. (2019). Examining communities of inquiry in Massive Open Online Courses: The role of study strategies. Internet and Higher Education, 40, 20-43. https://doi.org/10.1016/j.iheduc.2018.09.001
  • Kubincova, E., Dale, V.H.M., & Kerr, J. (2018). How a MOOC can effectively facilitate student transitions to an online distance postgraduate programme. Research in Learning Technology, 26. https://doi.org/10.25304/rlt.v26.2055
  • Littenberg-Tobias, J., & Reich, J. (2020). Evaluating access, quality, and equity in online learning: A case study of a MOOC-based blended professional degree program. Internet and Higher Education, 47, 100759. https://doi.org/10.1016/j.iheduc.2020.100759
  • Lockwood, C., Munn, Z., & Porritt, K. (2015). Qualitative research synthesis: Methodological guidance for systematic reviewers utilizing meta-aggregation. International Journal of Evidence-Based Healthcare, 13(3), 179-187. https://doi.org/10.1097/XEB.0000000000000062
  • Maina, M. (2020). E-actividades para un aprendizaje activo. In A. Sangrà (Ed.), Decálogo para la mejora de la docencia online. Propuestas para educar en contextos presenciales discontinuos (pp. 81-97). Editorial UOC. https://bit.ly/36G9FV6
  • Maré, S., & Mutezo, A.T. (2020). The effectiveness of e-tutoring in an open and distance e-learning environment: Evidence from the university of south africa. Open Learning. https://doi.org/10.1080/02680513.2020.1717941
  • Martinez-Navarro, J. (2021). Indicadores de abandono en contextos MOOC, una aproximación pedagógica desde la literatura. Revista de Ciències de l’Educació, 1(3), 36-59. https://doi.org/10.17345/ute.2020.3.3031
  • Maya-Jariego, I., Holgado, D., González-Tinoco, E., Castaño-Muñoz, J., & Punie, Y. (2020). Typology of motivation and learning intentions of users in MOOCs: The moocknowledge study. Educational Technology Research and Development, 68(1), 203-224. https://doi.org/10.1007/s11423-019-09682-3
  • Mellati, M., & Khademi, M. (2020). MOOC-based educational program and interaction in distance education: Long life mode of teaching. Interactive Learning Environments, 28(8), 1022-1035. https://doi.org/10.1080/10494820.2018.1553188
  • Monique, A., & Chiappe, A. (2020). Los MOOC en la línea del tiempo: Una biografía investigativa de una tendencia educativa. RED, (pp. 1-31). https://doi.org/10.6018/red.438701
  • Nortvig, A.M., Petersen, A.K., & Balle, S.H. (2018). A literature review of the factors influencing e-learning and blended learning in relation to learning outcome, student satisfaction and engagement. Electronic Journal of E-Learning, 16(1), 45-55. https://bit.ly/3kBJo2L
  • Osuna-Acedo, S., Marta-Lazo, C., & Frau-Meigs, D. (2018). From sMOOC to tMOOC, learning towards professional transference. ECO European Project. [De sMOOC a tMOOC, el aprendizaje hacia la transferencia profesional: El proyecto europeo ECO]. Comunicar, 55, 105-114. https://doi.org/10.3916/C55-2018-10
  • Palacios-Hidalgo, F.J., Huertas-Abril, C.A., & Parra, M.E. (2012). MOOCs: Origins, concept and didactic applications: A systematic review of the literature. Technology, Knowledge and Learning, 25, 853-879. https://doi.org/10.1007/s10758-019-09433-6
  • Paton, R.M., Fluck, A.E., & Scanlan, J.D. (2013). Engagement and retention in VET MOOCs and online courses: A systematic review of literature from. Computers and Education, 125, 191-201. https://doi.org/10.1016/j.compedu.2018.06.013
  • Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008). Systematic mapping studies in software engineering. In G. Visaggio, M. T. Baldassarre, S. Linkman, & M. Turner (Eds.), EASE’08 Proceedings of the 12th internationalconference on Evaluation and Assessment in Software Engineering (pp. 68-77). BCS Learning & Development Ltd. https://bit.ly/3reSAeH
  • Prinsloo, P., Slade, S., & Khalil, M. (2019). Student data privacy in MOOCs: a sentiment analysis. Distance Education, 40(3), 395-413. https://doi.org/10.1080/01587919.2019.1632171
  • Quezada-Cáceres, S., & Salinas-Tapia, C. (2021). Modelo de retroalimentación para el aprendizaje: Una propuesta basada en la revisión de la literatura. Revista Mexicana de Investigación Educativa, 26(88), 225-251. https://bit.ly/3z0Ulyt
  • Rajabalee, B.Y., Santally, M.I., & Rennie, F. (2020). A study of the relationship between students’ engagement and their academic performances in an eLearning environment. E-Learning and Digital Media, 17, 1-20. https://doi.org/10.1177/2042753019882567
  • Romero-Frías, E., Arquero, J.L., & Barrio-García, S. (2020). Exploring how student motivation relates to acceptance and participation in MOOCs. Interactive Learning Environments, (pp. 1-17). https://doi.org/10.1080/10494820.2020.1799020
  • Sallam, M.H., Martín-Monje, E., & Li, Y. (2012). Research trends in language MOOC studies: A systematic review of the published literature. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2020.1744668
  • Sanz-Martínez, L., Er, E., Martínez-Monés, A., Dimitriadis, Y., & Bote-Lorenzo, M.L. (2019). Creating collaborative groups in a MOOC: A homogeneous engagement grouping approach. Behaviour and Information Technology, 38(11), 1107-1121. https://doi.org/10.1080/0144929X.2019.1571109
  • Shapiro, H.B., Lee, C.H., Roth, N.E.W., Li, K., Çetinkaya-Rundel, M., & Canelas, D.A. (2017). Understanding the massive open online course (MOOC) student experience: An examination of attitudes, motivations, and barriers. Computers and Education, 110, 35-50. https://doi.org/10.1016/j.compedu.2017.03.003
  • Stöhr, C., Stathakarou, N., Mueller, F., Nifakos, S., & Mcgrath, C. (2019). Videos as learning objects in MOOCs: A study of specialist and non-specialist participants’ video activity in MOOCs. British Journal of Educational Technology, 50(1), 166-176. https://doi.org/10.1111/bjet.12623
  • Sun, Y., Ni, L., Zhao, Y., Shen, X.L., & Wang, N. (2019). Understanding students’ engagement in MOOCs: An integration of self-determination theory and theory of relationship quality. British Journal of Educational Technology, 50(6), 3156-3174. https://doi.org/10.1111/bjet.12724
  • Tang, H., Xing, W., & Pei, B. (2018). Exploring the temporal dimension of forum participation in MOOCs. Distance Education, 39(3), 353-372. https://doi.org/10.1080/01587919.2018.1476841
  • Tang, W., Hu, J., Zhang, H., Wu, P., & He, H. (2015). Kappa coefficient: A popular measure of rater agreement. Shanghai Archives of Psychiatry, 27, 62-67. https://doi.org/10.11919/j.issn.1002-0829.215010
  • Teixeira, A.M., Mota, J., Morgado, L., & Do-Carmo-Teixeira-Pinto, M. (2019). Can MOOCs close the Opportunity Gaps? The contribution of social inclusive pedagogical design. Revista Fuentes, 21(2), 239-252. https://doi.org/10.12795/revistafuentes.2019.v21.i2.08
  • Urrútia, G., & Bonfill, X. (2010). PRISMA declaration: A proposal to improve the publication of systematic reviews and meta-analyses. Medicina Cínica, 135(11), 507-511. https://doi.org/10.1016/j.medcli.2010.01.015
  • Vayre, E., & Vonthron, A.M. (2019). Relational and psychological factors affecting exam participation and student achievement in online college courses. Internet and Higher Education, 43, 100671. https://doi.org/10.1016/j.iheduc.2018.07.001
  • Velázquez-Sortino, M., Gómez-Zermeño, M.G., & Alemán-De-La-Garza, L. (2017). Interactions in a massive, online, open course (MOOC) for teacher’s. Proposal for a model of analysis. Digital Education Review, 31, 149-175. https://doi.org/10.1344/der.2017.31.149-175
  • Veletsianos, G., & Shepherdson, P. (2016). A systematic analysis and synthesis of the empirical MOOC literature published in 2013-2015. International Review of Research in Open and Distance Learning, 17, 198-221. https://doi.org/10.19173/irrodl.v17i2.2448
  • Watted, A., & Barak, M. (2018). Motivating factors of MOOC completers: Comparing between university-affiliated students and general participants. Internet and Higher Education, 37, 11-20. https://doi.org/10.1016/j.iheduc.2017.12.001
  • Wong, J., Baars, M., Davis, D., Zee, T.V.D., Houben, G.J., & Paas, F. (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human-Computer Interaction, 35(4-5), 356-373. https://doi.org/10.1080/10447318.2018.1543084
  • Wu, B. (2021). Influence of MOOC learners discussion forum social interactions on online reviews of MOOC. Education and Information Technologies, 26, 3483-3496. https://doi.org/10.1007/s10639-020-10412-z
  • Xing, W., Tang, H., & Pei, B. (2019). Beyond positive and negative emotions: Looking into the role of achievement emotions in discussion forums of MOOCs. Internet and Higher Education, 43, 100690. https://doi.org/10.1016/j.iheduc.2019.100690
  • Zainuddin, Z., Chu, S.K.W., Shujahat, M., & Perera, C.J. (2020). The impact of gamification on learning and instruction: A systematic review of empirical evidence. Educational Research Review, 30. https://doi.org/10.1016/j.edurev.2020.100326
  • Zhang, J., Sziegat, H., Perris, K., & Zhou, C. (2019). More than access: MOOCs and changes in Chinese higher education. Learning, Media and Technology, 44, 108-123. https://doi.org/10.1080/17439884.2019.1602541
  • Zhu, M., Bonk, C.J., & Doo, M.Y. (2020). Self-directed learning in MOOCs: Exploring the relationships among motivation, self-monitoring, and self-management. Educational Technology Research and Development, 68, 2073. https://doi.org/10.1007/s11423-020-09747-8
  • Zhu, M., Sari, A., & Lee, M.M. (2018). A systematic review of research methods and topics of the empirical MOOC literature. Internet and Higher Education, 37, 31-39. https://doi.org/10.1016/j.iheduc.2018.01.002
  • Zhu, M., Sari, A.R., & Lee, M.M. (2020). A comprehensive systematic review of MOOC research: Research techniques, topics. Educational Technology Research and Development, 68(4), 1685-1710. https://doi.org/10.1007/s11423-020-09798-x
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