Abstract
Learning Analytics (LA) aims to understand and optimize the learning process in the environments in which they occur. It also offers opportunities for teachers to understand students’ behavior and promote the use of effective strategies that allow them to achieve their goals. Most of current solutions proposed in the literature for supporting students’ SRL are based on dashboards. However, if students do not interact with them, it becomes difficult to understand whether they have an impact in their self-regulated behavior. This demonstration, presents Miranda: A Chatbot that acts as a conversational agent to recommend and make suggestions on SRL strategies based on students’ the behavior. The first version of Miranda has been developed for Moodle, but it could be adapted to any other Learning Management System.
Author supplied keywords
Cite
CITATION STYLE
Maldonado-Mahauad, J., Pérez-Sanagustín, M., Carvallo-Vega, J., Narvaez, E., & Calle, M. (2022). Miranda: A Chatbot for Supporting Self-regulated Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13450 LNCS, pp. 455–462). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16290-9_36
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
