Abstract
The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching modalities (eLearning methodology), this monitoring is carried out through the digital platforms in which it is carried out in the academic activity, such as the learning management system platforms. These virtual teaching and learning environments (EVA) allow access to learners’ fingerprints, generating a large volume of data, that analysis allows a deep way of their behavior in those policies. This article collects the results of the exploration of student activity in the virtual campus (Blackboard Learn), which is in the first phase of Learning Analytics project carried out by the Nebrija University and discusses its implications for educational institutions. The data extracted correspond to the 2016–2017 course and have been analyzed around four blocks of information: user behavior, user activity, activity in the content areas and activity in the forums.
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Alliance for Excellent Education. (2014). Capacity enablers and barriers for learning analytics: Implications for policy and practice. Retrieved December 15, 2017, from https://all4ed.org/wp-content/uploads/2014/06/LearningAnalytics.pdf.
Amo, D., & Santiago, R. (2017). Learning analytics. La narración del aprendizaje a través de los datos. Barcelona: Universitat Oberta de Cataluña.
Arnold, K., & Pistilli, M. (2012). Course signals at Purdue: Using learning analytics to increase student success. Paper presented at the 2nd international conference on learning analytics and knowledge, Banff, Canadá. Retrieved February 10, 2019, from https://www.researchgate.net/publication/254462830_Course_signals_at_Purdue_Using_learning_analytics_to_increase_student_success.
Australian Universities Teaching Committee. (2003). Learning designs. The project. Retrieved February 10, 2019, from http://www.learningdesigns.uow.edu.au/project/index.htm.
Baepler, P., & Murdoch, C. K. J. (2010). Academic analytics and data mining in higher education. International Journal for the Scholarship of Teaching and Learning, 4(2), Article 17. Retrieved December 15, 2017, from https://digitalcommons.georgiasouthern.edu/cgi/viewcontent.cgi?article=1237&context=ij-sotl.
Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics. Washington, DC: Center for Technology in Learning SRI International.
Boton, E. C., & Gregory, S. (2015). Minimizing attrition in online degree courses. Journal of Educators Online, 12(1). Retrieved January 28, 2018, from https://eric.ed.gov/?id=EJ1051044.
Brown, M. (2011). Learning analytics: The coming third wave. Retrieved December 15, 2017, from https://library.educause.edu/~/media/files/library/2011/4/elib1101-pdf.pdf.
Burbules, C. (2009). Meanings of ubiquitous learning. In B. Cope & M. Kalantzis (Eds.), Ubiquitous learning (pp. 15–20). Urbana, IL: University of Illinois Press.
Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012). A reference model for learning analytics. International Journal of Technology Enhanced Learning, 4(5/6), 1–22. Retrieved January 29, 2018, from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.3990&rep=rep1&type=pdf.
Díaz, V., & Brown, M. (2012). Learning analytics: A report on the ELI Focus Session, EDUCAUSE. Retrieved January 25, 2018, from http://www.educause.edu/library/resources/learning-analytics-report-eli-focus-sessionconferencia.
Ellis, C. (2013). Broadening the scope and increasing the usefulness of learning analytics: The case for assessment analytics. British Journal of Educational Technology, 44(4), 662–664. Retrieved February, 12, 2018, from http://eprints.hud.ac.uk/id/eprint/16829/.
Ferguson, R., et al. (2016). Research evidence on the use of learning analytics-implications for education policy. Retrieved December 15, 2017, from http://publications.jrc.ec.europa.eu/repository/bitstream/JRC104031/lfna28294enn.pdf.
García Peñalvo, F. J. (2015). Inteligencia Institucional para la Mejora de los Procesos de Enseñanza-Aprendizaje. Jornada CRUE-TIC/EUNIS-BI sobre Inteligencia Institucional en Universidades. Retrieved October 12, 2017, from https://www.slideshare.net/grialusal/inteligencia-institucional-para-la-mejora-de-los-procesos-de-enseanzaaprendizaje.
Instituto Nacional de Tecnologías Educativas y de Formación del Profesorado. (2016). Resumen Informe Horizon, Edición 2016, Educación Superior. Retrieved October 15, 2017, from http://blog.educalab.es/intef/wp-content/uploads/sites/4/2016/03/Resumen_Horizon_Universidad_2016_INTEF_mayo_2016.pdf.
Johnson, L., Smith, R., Willis, H., Levine, A., & Haywood, K. (2011). The 2011 horizon report. Austin, TX: The New Media Consortium. Retrieved October 01, 2017, from http://net.educause.edu/ir/library/pdf/HR2011.pdf.
Knight, S., Buckingham Shum, S., & Littleton, K. (2014). Epistemology, assessment, pedagogy: Where learning meets analytics in the middle space. Journal of Learning Analytics, 1(2), 23–47.
Learning Analytics for Innovation and Knowledge Application in Higher Education. (2018). Seguimiento del estudiante: evaluación y retorno (feedback). Retrieved February 10, 2019, from http://transfer.rdi.uoc.edu/es/grupo/learning-analytics-innovation-and-knowledge-application-higher-education.
León Urritia, M., Vázquez-Cano, E., & López Meneses, E. (2017). Analítica de aprendizaje en MOOC mediante métricas dinámicas en tiempo real. @tic. Revista d’innovació educativa, 18, 38–47.
Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientis, 57(10), 1439–1459.
Long, P., Siemens, G., Conole, G., & Gasevic, D. (2011). Proceeding of the 1st international of learning analytics and knowledge (LAK11). Nueva York: ACM.
Luis De La Fuente Valentín, D. B. (2014). Am I doing well? A4Learning as a self-awareness tool to integrate in learning management systems. Revista Campus Virtuales, 3(1), 32–40.
Mupinga, D., Nora R., & Yaw, D. C. (2006). The learning styles, expectations, and needs of online students. College Teaching, 54(1), 185–189. https://doi.org/10.3200/CTCH.54.1.185-189
Pérez Pérez, M. L. (2016). Aproximación a las analíticas de aprendizaje para el seguimiento de los procesos de enseñanza-aprendizaje semipresenciales por los docentes de la Universidad de Almería. Trabajo fin de máster. Retrieved February 10, 2019, from http://e-spacio.uned.es/fez/eserv/bibliuned:masterComEdred-Mlperez/Perez_Perez_M_Lourdes_TFM.pdf.
Reyes, J. A. (2015). The skinny on big data in education: Learning analytics simplified. TechTrends, 59(2), 75–80. https://doi.org/10.1007/s11528-015-0842-1.
Ryan, S. (2001). Is online learning right for you? American Agent and Broker, 73(6), 54–58.
Sharples, M., de Roock, R., Ferguson, R., Gaved, M., Herodotou, C., Koh, E., et al. (2016). Innovating Pedagogy 2016: Open University Innovation Report 5. Milton Keynes: The Open University. Retrieved October 01, 2017, from http://proxima.iet.open.ac.uk/public/innovating_pedagogy_2016.pdf.
Siemens, G. (2011). Learning analytics & knowledge. Paper presented at the 1st international conference on learning analytics and knowledge, Banff, Canadá. Retrieved October 15, 2017, from https://tekri.athabascau.ca/analytics/.
Siemens, G. (2012). Learning analytics: Envisioning a research discipline and a domain of practice. Paper presented at the 2nd international conference on learning analytics & knowledge, Vancouver, BC, Canada. Retrieved January 25, 2018, from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.404.5994&rep=rep1&type=pdf.
Siemens, G. (2015). Learning analytics: Advancing the science of learning. Paper presented at the UNT’s University Forum on Teaching & Learning, Texas, EEUU.
Siemens, G., & Baker, R. S. J. D. (2012). Learning analytics and educational data mining: Towards communication and collaboration. In S. B. Shum, D. Gasevic, & R. Ferguson (Eds.), Proceedings of the 2nd international conference on learning analytics and knowledge (pp. 252–254). http://dx.doi.org/10.1145/2330601.2330661.
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2, 3–10.
SNOLA. (2017). ¿Qué es SNOLA?/What is SNOLA? Retrieved January 30, 2018, from https://snola.es/.
Teacher Inquiry into Student Learning: The TISL Heart Model and Method for use in Teachers’ Professional Development. Retrieved October 15, 2017, from https://www.researchgate.net/publication/296483233_Teacher_Inquiry_into_Student_Learning_-_The_TISL_Heart_Model_and_Method_for_use_in_Teachers%27_Professional_Development. Accessed November 24 2017.
UDIMA. (2019). Innovación. Propuesta de un modelo explicativo del comportamiento y rendimiento académico del estudiante en la Enseñanza a Distancia (MeCoRED). Retrieved February 10, 2019, from https://www.udima.es/es/innovacion/proyectos.html.
University of Derby. (2017). Learning analytics. Retrieved December 15, 2017, from https://www.derby.ac.uk/about/learning-enhancement/learning-teaching/technology-media/learninganalytics/.
Universidad de Edimburgo. (2017). The learning analytics report card. Retrieved January 10, 2018, from http://www.de.ed.ac.uk/project/learning-analytics-report-card.
Universidad Carlos III de Madrid, Universidad de Valladolid y Universidad Pompeu Fabra. (2019). SmartLET: Learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments. Retrieved February 10, 2019, from https://smartlet.gsic.uva.es/summary/.
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This research has been carried out thanks to the support of all members of Global Campus at Nebrija University.
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Ibañez, P., Villalonga, C. & Nuere, L. Exploring Student Activity with Learning Analytics in the Digital Environments of the Nebrija University. Tech Know Learn 25, 769–787 (2020). https://doi.org/10.1007/s10758-019-09419-4
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DOI: https://doi.org/10.1007/s10758-019-09419-4