Las perspectivas de estudiantes universitarios sobre el Big Data y su papel en el sistema educativo

Cristina Negro Martínez; Mariano Borrego Linares; Antonio Matas Terrón

doi:10.24310/innoeduca.2020.v6i2.6809

Authors

Cristina Negro Martínez Universidad de Málaga Spain https://orcid.org/0000-0002-5420-2711
Mariano Borrego Linares Universidad de Málaga Spain
Antonio Matas Terrón Universidad de Málaga Spain https://orcid.org/0000-0003-1401-4932

DOI:

https://doi.org/10.24310/innoeduca.2020.v6i2.6809

Keywords:

big data, undergraduate students, psychometric validation

Abstract

Speaking about Big Data in education nowadays is to highlight the potential of massive data management for the improvement of educational quality. This article offers the most relevant results of a study conducted in a university context with students of the University of Malaga. The objective of the study was to know and understand the perceptions, opinions, knowledge and attitudes related to Big Data in the education system. For this, a survey study was conducted, using the VABIDAE scale to collect data of 104 university students. A psychometric study of the scale was done with the collected data, as well as a descriptive statistical analysis. The results indicate that students are quite uninformed about Big Data and its uses that can be given in the educational field, although they have a positive perception in the face data and its use. However, they are critical of the benefits and problems that can have on the quality of education.

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References

Borrego, M., Guardeño, C., Jiménez, C., Montero, R., Negro, C. y Matas, A. (2019). Cuestionario Sobre Big Data en Educación. Escala de Valoración Del Big Data Aplicado a la Educación (VABIDAE). Recuperado de: https://bit.ly/2mIdTIF.

Camargo-Vega, J. J., Camargo-Ortega, J. F. & Joyanes-Aguilar, L. (2015). Conociendo Big Data. Knowing the Big Data. Conhecendo Big Data. Revista Facultad de Ingeniería, 24(38), 63-77.

Daniel, B. K. (Ed.). (2017). Big data and learning analytics in higher education: current theory and practice. New York: Springer.

De la fuente, R. & Quijano, C. (2018). Privacidad en Big Data. Computerworld Red de conocimiento. Recuperado de: https://bit.ly/2p6A1xc.

Domínguez, D. (2018). Big data, analítica del aprendizaje y educación basada en datos. Universidad Nacional de Educación a Distancia (UNED), Madrid. 1-19. Recuperado de: https://bit.ly/2oedrSX.

Eynon, R. (2013). The rise of Big Data: what does it mean for education, technology, and media research? Learning, Media, and Technology, 38, 237–240.

Ferguson, R. (2014). Learning analytics don’t just measure students’ progress–They can shape it. Theguardian.com.

García, M., & Fuentes, A. (2016). Uso de Big Data en contextos educativos. In EDUNOVATIC 2016-I Congreso Virtual internacional de Educación, Innovación y TIC.: Del 14 al 16 de diciembre de 2016. Libro de actas (pp. 687-689). REDINE. Red de Investigación e Innovación Educativa.

Gartner (2014). Gartner says the Internet of Things will transform the Data Center. Retrieved August 5, 2014.

Gasevic, D., Dawson, S., & Jovanovic, J. (2016). Ethics and privacy as enablers of learning analytics. Journal of Learning Analytics, 3, 1–4.

Gómez, M. (2016, octubre 17). El Big Data como fuente de empleo [Entrada blog]. Recuperado de https://bit.ly/2mNzvDy.

González, A., & Maroto, A. (2017). Big data para la investigación lingüística y la educación bilingüe. International Journal for 21st Century Education, 1(4), 33-41.

Guthrie, D. (2013). The coming Big Data education revolution. US News, 15(08), 2013.

Hair Jr., J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Edinburg: Pearson Education Limited.

Hazan, E., & Banfi, F. (2013). Leveraging big data to optimize digital marketing. McKinsey & Company. Retrieved January 13, 2015.

Ho, A. (2017). Advancing educational research and student privacy in the “Big Data” era. Washington, DC: National Academy of Education.

IDC (2012). Worldwide Big Data technology and services 2012 – 2016 forecast. Market Analysis.

Laney, D. (2001). 3D data management: Controlling data volume, velocity and variety. META group research note, 6(70), 1.

Li, K. C., Jiang, H., Yang, L. T., & Cuzzocrea, A. (Eds.). (2015). Big data: Algorithms, analytics, and applications. CRC Press.

Macfadyen, L. P. (2017). Overcoming barriers to educational analytics: how systems thinking and pragmatism can help. Educational Technology, 57, 31–39.

Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Hung Byers, A. (2011). Big Data: The Next Frontier for Innovation, Competition, and Productivity, McKinsey: McKinsey Global Institute.

Mohanty, H., Bhuyan, P., & Chenthati, D. (Eds.). (2015). Big data: A primer (Vol. 11). Springer.

Paniagua, P., & Cubo, S. (2018). Evaluación de las actitudes del profesorado hacia la aplicación de técnicas de “Big Data” en educación. In Campus digitales en la educación superior (pp. 221-234). Servicio de Publicaciones.

Pedraza, J., & Molina, J. M. (2017). El Big Data en el ámbito de los resultados docentes. In Educación, participación y escenarios digitales: Debates sobre la mediación digital en el siglo XXI (pp. 62-70). Editorial Comares.

Poulovassilis, A. (2016). Big Data and education. Technical Report BBKCS-16–01. Birkbeck.

Roberts, L. D., Howell, J. A., & Seaman, K. (2017). Give me a Customizable Dashboard: Personalized Learning Analytics Dashboards in Higher Education. Technology, Knowledge and Learning, 3(22), 317-333.

Yudatama, U., Nazief, B. A., Hidayanto, A. N., & Mishbah, M. (2017, October). Factors affecting awareness and attitude of IT governance implementation in the higher education institution: A literature review. In 2017 3rd International Conference on Science in Information Technology (ICSITech) (pp. 588-592). IEEE.