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dc.contributor.authorRomero Zaldivar, Vicente Arturo
dc.contributor.authorPardo, Abelardo
dc.contributor.authorBurgos, Daniel (UNIR)
dc.contributor.authorDelgado Kloos, Carlos
dc.description.abstractThe interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper understanding of the learning process and propose improvements. But with the increasing variety of tools being used, monitoring student progress is becoming a challenge. The paper answers two questions. The first one is how feasible is to monitor the learning activities occurring in a student personal workspace. The second is how to use the recorded data for the prediction of student achievement in a course. To address these research questions, the paper presents the use of virtual appliances, a fully functional computer simulated over a regular one and configured with all the required tools needed in a learning experience. Students carry out activities in this environment in which a monitoring scheme has been previously configured. A case study is presented in which a comprehensive set of observations were collected. The data is shown to have significant correlation with student academic achievement thus validating the approach to be used as a prediction mechanism. Finally a prediction model is presented based on those observations with the highest correlation.es_ES
dc.publisherComputers and Educationes_ES
dc.relation.ispartofseries;vol. 58, nº 4
dc.subjecteducational data mininges_ES
dc.subjectlearning analyticses_ES
dc.subjectvirtual applianceses_ES
dc.subjecteducational systemses_ES
dc.subjectpredictive systemses_ES
dc.titleMonitoring student progress using virtual appliances: A case studyes_ES
dc.typeArticulo Revista Indexadaes_ES

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