ARTÍCULO DE CONFERENCIA
Proposal for the design and implementation of Miranda: a chatbot-type recommender for supporting self-regulated learning in online environments
Fecha
2021Registro en:
000-000-00-0000-0
1613-0073
Autor
Maldonado Mahauad, Jorge Javier
Calle Morales, Darwin Mauricio
Narvaez Miranda, Edwin David
Institución
Resumen
The use of virtual platforms as a new space where online learning occurs has experienced a
progressive increase in recent years. These platforms, also known as learning management
systems (LMS), bring many benefits, not only the intrinsic ones due to their virtual modality:
the ease of access and availability, but also due to the large amount of data that they store with
respect to student interactions. At present, these data have not yet been processed or exploited
in their entirety and if they do so they could provide various indicators that would be oriented
to understand the way in which knowledge is acquired, the behavior of students in order to
further improve the experience of student learning on online platforms. Fortunately, platforms
like Moodle are characterized by storing a large amount of data, for that reason several plugins
are developed, which add extra functionalities to the platform and use learning analytics (LA)
to monitor and describe the learning process. However, most plugins do not reach a
prescription level, that is, they do not delve into specific actions to improve the learning
process. Thus, this study proposes the design and implementation of a chatbot-type
recommendation system, the proposed tool will help students in self-regulation of their
learning, providing recommendations for time and sessions, resources and actions within the
platform to obtain better results.