Warnings and Recommendation System for an E-Learning Platform
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Instituto Politécnico Nacional
2015
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| _version_ | 1876468354682716160 |
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| author | Camilo Peñuela |
| author_facet | Camilo Peñuela |
| contents | Warnings and Recommendation System for an E-Learning Platform Camilo Peñuela Elizabeth León Jonatan Gómez Computación web log student profile educational data mining Learning management system A warning messages and recommendation system for an E-Learning system is proposed, the goal is to identify which students are likely to have a poor academic performance, and give them timely feedback by showing alerts and recommended material. The proposed system uses a set of profiles previously identified by a student profiling model, using socio-economic (age and gender) and web navigation data on the system (number of accesses to resources, percentage of accesses in class, average absence time and average session length). Each profile is analyzed and a warning message is assigned to each one; also, the sequences of consultations performed by students with a high academic performance are recognized and used to choose which resources are recommended. Based on the sequence performed by a student in a current session, the platform may recommend access specific resources. 2015 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402643625005 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.52 |
| format | Artículo científico |
| id | redalyc_402643625005 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Warnings and Recommendation System for an E-Learning Platform Camilo Peñuela Computación web log student profile educational data mining Learning management system Warnings and Recommendation System for an E-Learning Platform Camilo Peñuela Elizabeth León Jonatan Gómez Computación web log student profile educational data mining Learning management system A warning messages and recommendation system for an E-Learning system is proposed, the goal is to identify which students are likely to have a poor academic performance, and give them timely feedback by showing alerts and recommended material. The proposed system uses a set of profiles previously identified by a student profiling model, using socio-economic (age and gender) and web navigation data on the system (number of accesses to resources, percentage of accesses in class, average absence time and average session length). Each profile is analyzed and a warning message is assigned to each one; also, the sequences of consultations performed by students with a high academic performance are recognized and used to choose which resources are recommended. Based on the sequence performed by a student in a current session, the platform may recommend access specific resources. 2015 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402643625005 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.52 |
| title | Warnings and Recommendation System for an E-Learning Platform |
| topic | Computación web log student profile educational data mining Learning management system |
| url | https://www.redalyc.org/articulo.oa?id=402643625005 |