Narvaez Miranda, Edwin DavidPérez Sanagustín, MarCarvallo Vega, Juan PabloMaldonado Mahauad, Jorge JavierCalle Morales, Darwin Mauricio2023-01-162023-01-162022978-303116289-30302-9743http://dspace.ucuenca.edu.ec/handle/123456789/40738https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137999377&doi=10.1007%2f978-3-031-16290-9_36&partnerID=40&md5=3fe8718ce690dc5eef863a881c655315Learning 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 Systemes-ESConversational agentRecommender systemSelf-regulated learningLearning AnalyticsChatbotARTÍCULO DE CONFERENCIA10.1007/978-3-031-16290-9_36