1. Agudo-Peregrina, Á. F., Iglesias-Pradas, S., Conde-González, M. Á., & Hernández-García, Á. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in Human Behavior, 31, 542–550.
https://doi.org/10.1016/j.chb.2013.05.031
.
2. Alier Forment, M., Amo Filvà, D., García-Peñalvo, F. J., Fonseca Escudero, D., & Casañ, M. J. (2018). Learning analytics’ privacy on the blockchain. In F. J. García-Peñalvo (Ed.), TEEM’18 Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality (Salamanca, Spain, October 24th–26th, 2018) (pp. 294–298). New York, NY, USA: ACM.
3. Almosallam, E. A., & Ouertani, H. C. (2014). Learning analytics: definitions, applications and related fields. A study for future challenges. In T. Herawan, M. M. Deris, & J. Abawajy (Eds.), Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) (pp. 721–730). Singapore: Springer Science + Business Media.
4. Amo-Filvà, D. A., Alier Forment, M., García-Peñalvo, F. J., Fonseca-Escudero, D., & Casañ, M. J. (2019). Clickstream for learning analytics to assess students’ behavior with scratch. Future Generation Computer Systems, 93, 673–686.
https://doi.org/10.1016/j.future.2018.10.057
.
5. Andres, J. M. L., ¡Baker, R. S., Gašević, D., Siemens, G., Crossley, S. A., & Joksimović, S. (2018). Studying MOOC completion at scale using the MOOC replication framework. In Proceedings of the 8th International Conference on Learning Analytics and Knowledge—LAK′18 (Sydney, New South Wales, Australia—March 07–09, 2018) (pp. 71–78). New York, NY, USA: ACM.