Analíticas de aprendizaje y su potencial para una educación de calidad sostenible
Resumen
Este ensayo plateó que las analíticas de aprendizaje han mostrado beneficios, pero no todo su potencial, se requiere usar los datos que éstas proporcionan con énfasis en el aprendizaje para una gestión educativa y toma de decisiones efectivas y así avanzar hacia el logro del ODS4 sobre la calidad educativa en las universidades. Una educación de calidad sostenible es un gran reto incluso para países desarrollados y aunque las analíticas se están expandiendo como solución en respuesta a la demanda para retroalimentar el ecosistema educativo, aún existe una gran brecha para aprovechar sus múltiples beneficios. Se discute la aceptación de analítica por el profesorado, ausencia de un modelo de gestión, diferentes motivaciones institucionales para su uso, la falsa dicotomía “objetividad-subjetividad” de los datos, mucha ciencia de datos y poca ciencia de aprendizaje, y paradigmas de enseñanza, como posibles factores a mejorar para lograr el máximo potencial de las analíticas.
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Abdallah, N., Ahlan, A., & Abdullah, O. (2016, November). Factors affecting instructors' adoption of learning management systems: A theoretical framework. In 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M) (pp. 13-18). IEEE. https://doi.org/10.1109/ICT4M.2016.016
Alhadad, S. (2018). Visualizing data to support judgement, inference, and decision making in learning analytics: Insights from cognitive psychology and visualization science. Journal of Learning Analytics, 5(2), 60-85. https://doi.org/10.18608/jla.2018.52.5
Al-Nuaimi, M., & Al-Emran, M. (2021). Learning management systems and technology acceptance models: A systematic review. Education and Information Technologies, 26(5), 5499-5533. https://doi.org/10.1007/s10639-021-10513-3
Anyim, W. (2021). Sustainable Development Goal on Quality Education: A Review of E-Learning Resources and Pedagogy in the University System. Library Philosophy and Practice (e-journal), 5578.
Avella, J., Kebritchi, M., Nunn, S., & Kanai, T. (2016). Learning analytics methods, benefits, and challenges in higher education: A systematic literature review. Online Learning, 20(2), 13-29. https://files.eric.ed.gov/fulltext/EJ1105911.pdf
Boeren, E. (2019). Understanding Sustainable Development Goal (SDG) 4 on “quality education” from micro, meso and macro perspectives. International Review of Education, 65(2), 277-294. https://doi.org/10.1007/s11159-019-09772-7
Cechinel, C., Ochoa, X., Lemos dos Santos, H., Carvalho Nunes, J. B., Rodés, V., & Marques Queiroga, E. (2020). Mapping learning analytics initiatives in Latin America. British Journal of Educational Technology, 51(4), 892-914. https://doi.org/10.1111/bjet.12941
Chevreux, H., Henríquez, V., Guerra, J., & Scheihing, E. (2019, September). Agile development of learning analytics tools in a rigid environment like a university: Benefits, challenges and strategies. In European Conference on Technology Enhanced Learning (pp. 705-708). Springer, Cham.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Doneva, R., Gaftandzhieva, S., Bliznakov, M., & Bandeva, S. (2020). Learning analytics software tool supporting decision making in higher education. International Journal on Information Technologies & Security, 12(2). https://ijits-bg.com/contents/IJITS-N2-2020/2020-N2-04.pdf
Dos Santos, H., Cechinel, C., Nunes, J., & Ochoa, X. (2017, October). An initial review of learning analytics in Latin America. In 2017 Twelfth Latin American Conference on Learning Technologies (LACLO) (pp. 1-9). IEEE. https://doi.org/10.1109/LACLO.2017.8120913
El Alfy, S., Gómez, J., & Dani, A. (2019). Exploring the benefits and challenges of learning analytics in higher education institutions: A systematic literature review. Information Discovery and Delivery, 47(1), 25-34. https://doi.org/10.1108/IDD-06-2018-0018/full/html
Gaftandzhieva, S., Doneva, R., & Pashev, G. (2019). Learning analytics from the teacher’s perspective: A mobile app. INTED2019 Proceedings, 2340-1079.
Ghapanchi, A., Purarjomandlangrudi, A., McAndrew, A., & Miao, Y. (2020). Investigating the impact of space design, visual attractiveness and perceived instructor presence on student adoption of learning management systems. Education and Information Technologies, 25(6), 5053-5066. https://doi.org/10.1007/s10639-020-10204-5
González, E., Colomo, E., & Cívico, A. (2020). Quality education as a sustainable development goal in the context of 2030 agenda: Bibliometric approach. Sustainability, 12(15), 5884. https://doi.org/10.3390/su12155884
Guzmán-Valenzuela, C., Gómez-González, C., Rojas-Murphy Tagle, A., & Lorca-Vyhmeister, A. (2021). Learning analytics in higher education: a preponderance of analytics but very little learning? International Journal of Educational Technology in Higher Education, 18(1), 1-19. https://doi.org/10.1186/s41239-021-00258-x
Hassani, H., Huang, X., MacFeely, S., & Entezarian, M. (2021). Big data and the united nations sustainable development goals (UN SDGs) at a glance. Big Data and Cognitive Computing, 5(3), 28. https://doi.org/10.3390/bdcc5030028
Hernández-de-Menéndez, M., Morales-Menendez, R., Escobar, C., & Ramírez Mendoza, R. A. (2022). Learning analytics: state of the art. International Journal on Interactive Design and Manufacturing, 1-22. https://doi.org/10.1007/s12008-022-00930-0
Hilliger, I., Ortiz‐Rojas, M., Pesántez‐Cabrera, P., Scheihing, E., Tsai, Y. S., Muñoz‐Merino, P. J., ... & Pérez‐Sanagustín, M. (2020). Towards learning analytics adoption: A mixed methods study of data‐related practices and policies in Latin American universities. British Journal of Educational Technology, 51(4), 915-937. https://doi.org/10.1111/bjet.12933
Hooda, M., & Rana, C. (2020). Learning analytics lens: Improving quality of higher education. International Journal of Emerging Trends in Engineering Research, 8(5). https://doi.org/10.30534/ijeter/2020/24852020
Kurilovas, E. (2019). Advanced machine learning approaches to personalise learning: learning analytics and decision making. Behaviour & Information Technology, 38(4), 410-421. https://doi.org/10.1080/0144929X.2018.1539517
Lytras, M., Aljohani, N., Visvizi, A., Ordonez De Pablos, P., & Gasevic, D. (2018). Advanced decision-making in higher education: Learning analytics research and key performance indicators. Behaviour & Information Technology, 37(10), 937-940. https://doi.org/10.1080/0144929X.2018.1512940
Macfadyen, L., & Dawson, S. (2012). Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Journal of Educational Technology & Society, 15(3), 149-163. https://www.jstor.org/stable/jeductechsoci.15.3.149
Maldonado-Mahauad, J., Hilliger, I., De Laet, T., Millecamp, M., Verbert, K., Ochoa, X., & Pérez-Sanagustín, M. (2018, March). The LALA project: Building capacity to use learning analytics to improve higher education in Latin America. In companion proceedings of the 8th international learning analytics & knowledge conference (pp. 630-637). Springer.
Mella-Norambuena, J., Badilla-Quintana, M., & Angulo, Y. (2022). Modelos predictivos basados en uso de analíticas de aprendizaje en educación superior: una revisión sistemática. Texto livre, 15(e36310), 1-20. https://doi.org/10.35699/1983-3652.2022.36310
Miteva, D., Stefanov, K., & Stefanova, E. (2016). E-learning analytics for improvement of education. In International Conference on e-Learning (1), 129-134.
Natriello, G. (2021). Using Learning Analytics to Accelerate Change. In Reimagining Digital Learning for Sustainable Development (pp. 282-292). Routledge. New York https://doi.org/10.4324/9781003089698
Niet, Y., Díaz, V., & Montenegro, C. (2016, September). Academic decision making model for higher education institutions using learning analytics. In 2016 4th International Symposium on Computational and Business Intelligence (ISCBI) (pp. 27-32). https://doi.org/10.1109/ISCBI.2016.7743255
Ochoa, X. (2019). Learning analytics in Latin America present an opportunity not to be missed. Nature Human Behaviour, 3(1), 6-7. https://doi.org/10.1038/s41562-018-0481-6
Patel, M., & Desai, T. (2016). Big Data Analytics in Optimizing the Quality of Education: Challenges. International Journal for Innovative Research in Science & Technology, 3(6), 165-167.
Peña‐Ayala, A. (2018). Learning analytics: A glance of evolution, status, and trends according to a proposed taxonomy. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(3), e1243. https://doi.org/10.1002/widm.1243
Prieto, L., Rodríguez-Triana, M., Martínez-Maldonado, R., Dimitriadis, Y., & Gašević, D. (2019). Orchestrating learning analytics (OrLA): Supporting inter-stakeholder communication about adoption of learning analytics at the classroom level. Australasian Journal of Educational Technology, 35(4). https://doi.org/10.14742/ajet.4314
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in Human Behavior, 89, 98-110. https://doi.org/10.1016/j.chb.2018.07.027
Umer, R., Susnjak, T., Mathrani, A., & Suriadi, L. (2021). Current stance on predictive analytics in higher education: Opportunities, challenges and future directions. Interactive Learning Environments, 1-26. https://doi.org/10.1080/10494820.2021.1933542
Verma, A., Singh, A., Lughofer, E., Cheng, X., & Abualsaud, K. (2021). Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. Journal of Computing in Higher Education, 33(3), 551-579. https://doi.org/10.1007/s12528-021-09291-1
Wise, A., & Jung, Y. (2019). Teaching with analytics: Towards a situated model of instructional decision-making. Journal of Learning Analytics, 6(2), 53-69. https://doi.org/10.18608/jla.2019.62.4
Zanjani, N., Edwards, S. L., Nykvist, S., & Geva, S. (2016). LMS acceptance: The instructor role. The Asia-Pacific Education Researcher, 25(4), 519-526. https://doi.org/10.1007/s40299-016-0277-2
Zhang, J., Zhang, X., Jiang, S., Ordóñez de Pablos, P., & Sun, Y. (2018). Mapping the study of learning analytics in higher education. Behaviour & Information Technology, 37(10-11), 1142-1155. https://doi.org/10.1080/0144929X.2018.1529198
Derechos de autor 2023 Javier Mella-Norambuena;Fabiola Sáez-Delgado;Yaranay López-Angulo;Yenniffer Sáez;Verónica León-Ron
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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