MONITUM: um sistema proativo para monitoramento e avaliação das atividades de tutoria a distância em AVAs
The use of Virtual Learning Environments (VLEs) in Distance Education (DE) has generated an increasing volume of data coming from interactions between the actors of this process. The distance tutor is the actor responsible for mediating the students’ learning process and for promoting interaction...
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| Formato: | doctoralThesis |
| Idioma: | por |
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Brasil
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/23310 |
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| Resumo: | The use of Virtual Learning Environments (VLEs) in Distance Education (DE) has generated
an increasing volume of data coming from interactions between the actors of this
process. The distance tutor is the actor responsible for mediating the students’ learning
process and for promoting interaction in the VLEs. The volume of data generated from
these interactions, if properly exploited, can provide an understanding of the relationship
of influence between the performance of distance tutors and the effective participation of
students in VLEs. In this context, the research objective of this thesis was defined as the
development of a proactive system for monitoring and evaluation of distance learning activities,
through behavioral indicators in VLEs. The method used in this research was based
on the six-dimensional Learning Analytics methodology, which defined stakeholders,
objectives, data, instruments, external constraints and internal limitations. The analyzes
were carried out using historical data from a technological course and ten undergraduate
courses offered by the Secretariat for Distance Education of the Federal University of Rio
Grande do Norte. In all, three samples were used. The first sample consisted of information
from 38 tutors the distance and the second sample consisted of information from
2,227 students, being that the data from the two samples belonging to 62 classes. The
third sample consisted of information from 353 tutors at a distance, belonging to 1,281
classes. As main results of this thesis, we have: (i) construction of a knowledge model
(ontology) capable of mapping the existing relationships between the behavioral attributes
of the distance tutors and the effective participation of the students, through Pearson’s
Correlation Coefficient ; (Ii) construction of a Web Service capable of processing the information
related to the attributes of the distance tutors, classifying their performances
through the k-Means and Farthest First techniques and making recommendations based
on the knowledge model; and (iii) creation of a plugin for Moode that allows the visualization
of the data processed by the Web Service and that serves as a subsidy for the
managers of said courses. |
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