2024-03-28T19:38:12Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/62442022-11-30T13:19:36Zcom_10259_4219com_10259_5086com_10259_2604com_10259_5841col_10259_4220col_10259_5842
Sáiz Manzanares, María Consuelo
510
600
0000-0002-1736-2089
Marticorena Sánchez, Raúl
338
600
0000-0002-2633-635X
García Osorio, César
212
600
0000-0002-1206-1084
2021-11-29T08:56:35Z
2021-11-29T08:56:35Z
2021-05
2076-3417
http://hdl.handle.net/10259/6244
10.3390/app10103469
Early detection of at-risk students is essential, especially in the university environment. Moreover, personalized learning has been shown to increase motivation and lower student dropout rates. At present, the average dropout rates among students following courses leading to the award of Spanish university degrees are around 18% and 42.8% for presential teaching and online courses, respectively. The objectives of this study are: (1) to design and to implement a Modular Object-Oriented Dynamic Learning Environment (Moodle) plugin, “eOrientation”, for the early detection of at-risk students; (2) to test the effectiveness of the “eOrientation” plugin on university students. We worked with 279 third-year students following health sciences degrees. A process for extracting information records was also implemented. In addition, a learning analytics module was developed, through which both supervised and unsupervised Machine Learning techniques can be applied. All these measures facilitated the personalized monitoring of the students and the easier detection of students at academic risk. The use of this tool could be of great importance to teachers and university governing teams, as it can assist the early detection of students at academic risk. Future studies will be aimed at testing the plugin using the Moodle environment on degree courses at other universities.
Consejería de Educación de la Junta de Castilla y León (Spain) (Department of Education of the Junta de Castilla y León), grant number BU032G19, and grants from the University of Burgos for the dissemination and the improvement of teaching innovation experiences of the Vice-Rectorate of Teaching and Research Staff, the Vice-Rectorate for Research and Knowledge Transfer, 2020, and the Departamento de Ciencias de la Salud the University of Burgos (Spain).
application/pdf
eng
MDPI
Applied Sciences. 2020, V. 10, n. 10, 3469
https://doi.org/10.3390/app10103469
info:eu-repo/grantAgreement/Junta de Castilla y León//BU032G19//E-orientación en moodle: detección y seguimiento del alumno en riesgo en la universidad
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Student guidance
Personalized learning
Machine Learning
Moodle
Plugin
Enseñanza superior
Psicología
Informática
Education, Higher
Psychology
Computer science
Monitoring Students at the University: Design and Application of a Moodle Plugin
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
THUMBNAIL
Saiz-as_2020.pdf.jpg
Saiz-as_2020.pdf.jpg
IM Thumbnail
image/jpeg
3336
https://riubu.ubu.es/bitstream/10259/6244/4/Saiz-as_2020.pdf.jpg
5ad9784c87e4a9d9407c1a855358a5b4
MD5
4
LICENSE
license.txt
license.txt
text/plain; charset=utf-8
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https://riubu.ubu.es/bitstream/10259/6244/3/license.txt
b295bcbce42e2caabeb0c623d3860c06
MD5
3
CC-LICENSE
license_rdf
license_rdf
application/rdf+xml; charset=utf-8
908
https://riubu.ubu.es/bitstream/10259/6244/2/license_rdf
0175ea4a2d4caec4bbcc37e300941108
MD5
2
ORIGINAL
Saiz-as_2020.pdf
Saiz-as_2020.pdf
application/pdf
4494981
https://riubu.ubu.es/bitstream/10259/6244/1/Saiz-as_2020.pdf
ba564c43d75ce4d550cb9ec9f4aef01c
MD5
1
10259/6244
oai:riubu.ubu.es:10259/6244
2022-11-30 14:19:36.551
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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