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Monitoring student progress using virtual appliances: A case study
dc.contributor.author | Romero Zaldivar, Vicente Arturo | |
dc.contributor.author | Pardo, Abelardo | |
dc.contributor.author | Burgos, Daniel | |
dc.contributor.author | Delgado Kloos, Carlos | |
dc.date | 2012-05 | |
dc.date.accessioned | 2017-08-10T14:49:23Z | |
dc.date.available | 2017-08-10T14:49:23Z | |
dc.identifier.issn | 1873-782X | |
dc.identifier.uri | https://reunir.unir.net/handle/123456789/5408 | |
dc.description.abstract | The 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.language.iso | eng | es_ES |
dc.publisher | Computers and Education | es_ES |
dc.relation.ispartofseries | ;vol. 58, nº 4 | |
dc.relation.uri | http://www.sciencedirect.com/science/article/pii/S0360131511003198?via%3Dihub | es_ES |
dc.rights | restrictedAccess | es_ES |
dc.subject | educational data mining | es_ES |
dc.subject | learning analytics | es_ES |
dc.subject | virtual appliances | es_ES |
dc.subject | educational systems | es_ES |
dc.subject | predictive systems | es_ES |
dc.subject | JCR | es_ES |
dc.subject | Scopus | es_ES |
dc.title | Monitoring student progress using virtual appliances: A case study | es_ES |
dc.type | Articulo Revista Indexada | es_ES |
reunir.tag | ~ARI | es_ES |
dc.identifier.doi | http://dx.doi.org/10.1016/j.compedu.2011.12.003 |
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