Bibliografía recomendada

Se muestran a continuación las principales referencias bibliográficas de la asignatura. Además de esas referencias, en el programa de curso se proponen otras lecturas y recursos adecuados para realizar cada actividad y caso de estudio.

boyd, d., & Crawford, K. (2012). Critical Questions for Big Data. Information, Communication & Society 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878
Carfagna, L. (2014). Beyond Learning-as-Usual: Connected Learning among Open Learners. Irvine, CA: Digital Media and Learning Research Hub. Recuperado de https://dmlhub.net/wp- content/uploads/files/BeyondLearningAsUsual_v3.pdf
Chatti, M. A., Muslim, A., & Schroeder, U. (2017). Toward an Open Learning Analytics Ecosystem. En B. Daniel (Ed.), Big Data and Learning Analytics in Higher Education: Current Theory and Practice (pp. 195–219). Suiza: Springer.
Domínguez, D. (2018). Big Data, analítica del aprendizaje y educación basada en datos. Retrieved from https://papers.ssrn.com/abstract=3124369
Domínguez, D., Álvarez, J.F., & Gil-Jaurena, I. (2016). Learning Analytics and Big Data: Heuristics as Interpretive Frameworks. DILEMATA, International Journal of Applied Ethics, 22, 87–103. Recuperado de http://www.dilemata.net/revista/index.php/dilemata/article/view/412000042/450
Ekowo, M., & Palmer, I. (2017). Predictive analytics in higher education: Five guiding practices for ethical use. Recuperado de https://www.newamerica.org/education-policy/policy-papers/predictive-analytics-higher- education/#
Ito, M., Gutiérrez, K., Livingstone, S., Penuel, B., Rhodes, J., Salen, K., Schor, J., Sefton-Green, J., & Watkins, S.
C. (2013). Connected learning: An Agenda for research and design. Irvine, CA: Digital Media and Learning Research Hub. Recuperado de https://dmlhub.net/wp-content/uploads/files/Connected_Learning_report.pdf Metcalf, J., Crawford, K., & Keller, E.F. (2015). Pedagogical Approaches to Data Ethics. Recuperado de https://bdes.datasociety.net/council-output/pedagogical-approaches-to-data-ethics-2/
Metcalf, J., Keller, E. F., & boyd, d. (2016). Perspectives on Big Data, Ethics, and Society. Recuperado de https://bdes.datasociety.net/council-output/perspectives-on-big-data-ethics-and-society/
Polonetsky, J., & Jerome, J. (2014). Student data: Trust, Transparency, and the role of consent. Recuperado de http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2628877

Selwyn, N. (2015). Data entry: Towards the critical study of digital data and education. Learning, Media and Technology, 40(1), 64–82. https://doi.org/10.1080/17439884.2014.921628
Siemens, G. 2013. Learning Analytics: The Emergence of a Discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177%2F0002764213498851