RT info:eu-repo/semantics/article
T1 Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques
A1 Sáiz Manzanares, María Consuelo
A1 Rodríguez Diez, Juan José
A1 Diez Pastor, José Francisco
A1 Rodríguez Arribas, Sandra
A1 Marticorena Sánchez, Raúl
A1 Ji, Yi Peng
K1 At-risk student
K1 Clustering
K1 Visualisation
K1 Self-regulated learning
K1 Moodle
K1 Learning analytics
K1 Enseñanza superior
K1 Education, Higher
K1 Informática
K1 Computer science
K1 Psicología
K1 Psychology
AB In this study, we used a module for monitoring and detecting students at risk of dropping out. We worked with a sample of 49 third-year students in a Health Science degree during a lockdown caused by COVID-19. Three follow-ups were carried out over a semester: an initial one, an intermediate one and a final one with the UBUMonitor tool. This tool is a desktop application executed on the client, implemented with Java, and with a graphic interface developed in JavaFX. The application connects to the selected Moodle server, through the web services and the REST API provided by the server. UBUMonitor includes, among others, modules for log visualisation, risk of dropping out, and clustering. The visualisation techniques of boxplots and heat maps and the cluster analysis module (k-means ++, fuzzy k-means and Density-based spatial clustering of applications with noise (DBSCAN) were used to monitor the students. A teaching methodology based on project-based learning (PBL), self-regulated learning (SRL) and continuous assessment was also used. The results indicate that the use of this methodology together with early detection and personalised intervention in the initial follow-up of students achieved a drop-out rate of less than 7% and an overall level of student satisfaction with the teaching and learning process of 4.56 out of 5.
PB MDPI
SN 2076-3417
YR 2021
FD 2021-03
LK http://hdl.handle.net/10259/6241
UL http://hdl.handle.net/10259/6241
LA eng
NO CONSEJERÍA DE EDUCACIÓN DE LA JUNTA DE CASTILLA Y LEÓN (Spain), grant number BU032G19.
DS Repositorio Institucional de la Universidad de Burgos
RD 24-nov-2024