2026-07-09T16:23:16Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/73342023-03-21T09:00:53Zcom_10259_4219com_10259_5086com_10259_2604col_10259_4220
Repositorio Institucional de la Universidad de Burgos
author
Marticorena Sánchez, Raúl
author
López Nozal, Carlos
author
Ji, Yi Peng
author
Pardo Aguilar, Carlos
author
Arnaiz González, Álvar
2023-01-26T11:18:32Z
2023-01-26T11:18:32Z
2022-03
http://hdl.handle.net/10259/7334
10.3390/electronics11060954
2079-9292
An inherent requirement of teaching using online learning platforms is that the teacher
must analyze student activity and performance in relation to course learning objectives. Therefore,
all e-learning environments implement a module to collect such information. Nevertheless, these
raw data must be processed to perform e-learning analysis and to help teachers arrive at relevant
decisions for the teaching process. In this paper, UBUMonitor is presented, an open-source desktop
application that downloads Moodle (Modular Object-Oriented Dynamic Learning Environment)
platform data, so that student activity and performance can be monitored. The application organizes
and summarizes these data in various customizable charts for visual analysis. The general features
and uses of UBUMonitor are described, as are some approaches to e-teaching improvements, through
real case studies. These include the analysis of accesses per e-learning object, statistical analysis of
grading e-activities, detection of e-learning object configuration errors, checking of teacher activity,
and comparisons between online and blended learning profiles. As an open-source application,
UBUMonitor was institutionally adopted as an official tool and validated with several groups of
teachers at the Teacher Training Institute of the University of Burgos.
eng
Atribución 4.0 Internacional
Open source
Educational software
Data visualization
E-learning
Learning management systems
Computerized monitoring
Moodle
Visual analytics
Student performance
UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/7334/1/Marticorena-electronics_2022.pdf
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