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dc.contributor.authorSáiz Manzanares, María Consuelo 
dc.contributor.authorMarticorena Sánchez, Raúl 
dc.contributor.authorGarcía Osorio, César 
dc.date.accessioned2021-11-29T08:56:35Z
dc.date.available2021-11-29T08:56:35Z
dc.date.issued2021-05
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10259/6244
dc.description.abstractEarly 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.en
dc.description.sponsorshipConsejería 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).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofApplied Sciences. 2020, V. 10, n. 10, 3469en
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectStudent guidanceen
dc.subjectPersonalized learningen
dc.subjectMachine Learningen
dc.subjectMoodleen
dc.subjectPluginen
dc.subject.otherEnseñanza superiores
dc.subject.otherEducation, Higheren
dc.subject.otherPsicologíaes
dc.subject.otherPsychologyen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleMonitoring Students at the University: Design and Application of a Moodle Pluginen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/app10103469es
dc.identifier.doi10.3390/app10103469
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Castilla y León//BU032G19//E-orientación en moodle: detección y seguimiento del alumno en riesgo en la universidades
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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