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dc.contributor.authorRegueras, Luisa M.
dc.contributor.authorVerdú, María J
dc.contributor.authorde Castro, Juan-Pablo
dc.date2022-12
dc.date.accessioned2022-12-20T09:57:57Z
dc.date.available2022-12-20T09:57:57Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/13943
dc.description.abstractIn recent years and accelerated by the arrival of the COVID-19 pandemic, Learning Management Systems (LMS) are increasingly used as a complement to university teaching. LMS provide an important number of resources and activities that teachers can freely select to complement their teaching, which means courses with different usage patterns difficult to characterize. This study proposes an expert system to automatically classify courses and certify teachers’ LMS competence from LMS logs. The proposed system uses clustering to stablish the classification scheme. From the output of this algorithm, it defines the rules used to classify courses. Data registered from a university virtual campus with 3,303 courses and two million interactive events have been used to obtain the classification scheme and rules. The system has been validated against a group of experts. Results show that it performs successfully. Therefore, it can be concluded that the system can automatically and satisfactorily evaluate and certify the teachers’ LMS competence evidenced in their courses.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 7, nº 7
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/3216es_ES
dc.rightsopenAccesses_ES
dc.subjectacademic analyticses_ES
dc.subjectautomatic course classificationes_ES
dc.subjectlearning management systemses_ES
dc.subjectrule-based systemes_ES
dc.subjectexpert systemes_ES
dc.subjectIJIMAIes_ES
dc.titleA Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systemses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES


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