MOSALA: Socio-affective Model based on Learning Analytics to Assist Teachers in Monitoring Students in a Virtual Learning Environment
DOI:
https://doi.org/10.5753/rbie.2026.6059Keywords:
Distance Education, Virtual Learning Environments, Learning Analytics, Pedagogical Strategies, Social and Affective AspectsAbstract
The research aims to build MOSALA, a Socio-affective Model based on Learning Analytics to assist teachers in monitoring students in a Virtual Learning Environment. Distance Education (DE) allows flexibility in time and location, however, one of its main challenges is recognizing the interaction and affection between participants. The Virtual Learning Environment (VLE) of the Cooperative Learning Network (abbreviated in Portuguese: ROODA) has the following functionalities: Social Map (which highlights social relationships in the form of a sociogram) and Affective Map (which identifies students' moods). Based on the presented panorama, which consists of the difficulty of analyzing the social and affective aspects of students in the VLE, MOSALA was built. It helped to integrate the Maps, allowing the collection of social and affective data that helped in mapping, through Learning Analytics, Socio-affective Scenarios that are recurring in subjects and courses taught in ROODA. Thus, through the Scenarios, the teacher can apply Pedagogical Strategies (PS) to personalize teaching and learning, according to the students' profile. In this context, it is understood that it is important to develop a functionality in the VLE so that the teacher can have graphical access to the recommendation of the Socio-affective Scenarios and their respective PS, called the Socio-affective Map. The methodology has a qualitative and quantitative approach. The volunteer participants in the research were 311 students; two teachers; 13 tutors and four monitors. The collection instruments were Social Map, Affective Map, participant observation and questionnaires. The data provided the presentation of MOSALA, which has the 59 Socio-affective Scenarios, Learning Analytics, the 354 Pedagogical Strategies, Social Map, Affective Map, Recommendation System, PS Recommendation and the prototype of the Socio-affective Map. The model developed can serve as a basis for application in other VLEs, as well as in different contexts in DE.
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Copyright (c) 2026 Jacqueline Mayumi Akazaki, Letícia Sophia Rocha Machado, Patricia Alejandra Behar
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
