1. Uurlu, Y.: User attention analysis for e-Learning systems-towards intelligent tutoring. Int. J. Eng. Educ. 31(2), 521–528 (2015)
2. Özen, Z., Kartal, E., Emre, I.E.: A case study on improving e-Learning services using Google analytics in Turkey. Int. J. E-Adopt. 9(1), 26–37 (2017)
3. Huang, Y.C., Chen, C.M., Guo, J.C.: Effects of attention monitoring and alarm mechanism on promoting e-Learning performance. In: ICEL: Proceedings of International Conference on e-Learning, pp. 229–237, January 2016
4. Hu, Y.H., Lo, C.L., Shih, S.P.: Developing early-warning systems to predict students’ e-Learning performance. Comput. Hum. Behav. 36(1), 469–478 (2014)
5. Sabina, S., Maja, M., Marija, B.B.: Clustering of imbalanced moodle data for early alert of student failure. In: IEEE 14th Applied Machine Intelligence and Informatics (SAMI), Herlany (2016)