Abstract
Nowadays open online courses have become a powerful alternative in the teaching-learning process worldwide. Also, the use of Virtual Learning Environments for delivery of these courses has generated information sources contain large data sets about student interactions (content, resources and learning activities) creating research opportunities about students’ behavior in online courses. However, these type of courses faces an important challenge: high dropout rates during the course. This is a problem has become generalized in the different initiatives of online courses. This work, it is describing a dynamical visualization tool based on Learning Analytics using interaction events discovered in tracking logs. This tool can be used as a support to identify students at risk of dropping the course and to help teachers or instructors to take the necessary and appropriate actions.
UTPL, Research Group Knowledge-Based System and the Open Campus initiative.
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Acknowledgement
This research was supported by the Knowledge-Based System Research Group of the Universidad Técnica Particular de Loja and teacher’s teams that design and published your courses in Open Campus initiative (http://opencampus.utpl.edu.ec).
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Cabrera-Loayza, M.C., Cadme, E., Elizalde, R., Piedra, N. (2020). Learning Analytics as a Tool to Support Teaching. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds) Applied Technologies. ICAT 2019. Communications in Computer and Information Science, vol 1195. Springer, Cham. https://doi.org/10.1007/978-3-030-42531-9_33
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DOI: https://doi.org/10.1007/978-3-030-42531-9_33
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