Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
Abstract In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedago...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-05-01
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| Series: | International Journal of Educational Technology in Higher Education |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s41239-019-0146-1 |
| _version_ | 1819076232071872512 |
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| author | Lucila Romero Camila Saucedo Ma. Laura Caliusco Milagros Gutiérrez |
| author_facet | Lucila Romero Camila Saucedo Ma. Laura Caliusco Milagros Gutiérrez |
| author_sort | Lucila Romero |
| collection | DOAJ |
| description | Abstract In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedagogical aspects. Emerging approaches propose the use of electronic portfolios and semantic technologies to provide pedagogical characteristics that make tools more user-friendly for both teachers and students. This paper presents a conceptual model of an intelligent system to support self-regulated learning. This model is based on semantic technologies and uses the concepts of learning paths and student e-portfolios. For learning path generation, the system considers the different learning levels that a student should achieve and metrics that measure student progress. In this way, it proposes a learning path with the intention that the student achieves as highest learning level as possible. |
| first_indexed | 2024-12-21T18:38:02Z |
| format | Article |
| id | doaj.art-88a4ad0062df470f96fcac073ca08988 |
| institution | Directory Open Access Journal |
| issn | 2365-9440 |
| language | English |
| last_indexed | 2024-12-21T18:38:02Z |
| publishDate | 2019-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Educational Technology in Higher Education |
| spelling | doaj.art-88a4ad0062df470f96fcac073ca089882022-12-21T18:54:05ZengSpringerOpenInternational Journal of Educational Technology in Higher Education2365-94402019-05-0116111610.1186/s41239-019-0146-1Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning pathsLucila Romero0Camila Saucedo1Ma. Laura Caliusco2Milagros Gutiérrez3Facultad de Ingeniería y Ciencias Hídricas, GIDIS Research Group, Universidad Nacional del LitoralFacultad de Ingeniería y Ciencias Hídricas, GIDIS Research Group, Universidad Nacional del LitoralFacultad Regional Santa Fe, CIDISI Research Center, Universidad Tecnológica NacionalFacultad Regional Santa Fe, CIDISI Research Center, Universidad Tecnológica NacionalAbstract In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedagogical aspects. Emerging approaches propose the use of electronic portfolios and semantic technologies to provide pedagogical characteristics that make tools more user-friendly for both teachers and students. This paper presents a conceptual model of an intelligent system to support self-regulated learning. This model is based on semantic technologies and uses the concepts of learning paths and student e-portfolios. For learning path generation, the system considers the different learning levels that a student should achieve and metrics that measure student progress. In this way, it proposes a learning path with the intention that the student achieves as highest learning level as possible.http://link.springer.com/article/10.1186/s41239-019-0146-1Learning pathE-learningOntologySelf-regulationPersonalizationE-portfolio |
| spellingShingle | Lucila Romero Camila Saucedo Ma. Laura Caliusco Milagros Gutiérrez Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths International Journal of Educational Technology in Higher Education Learning path E-learning Ontology Self-regulation Personalization E-portfolio |
| title | Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths |
| title_full | Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths |
| title_fullStr | Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths |
| title_full_unstemmed | Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths |
| title_short | Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths |
| title_sort | supporting self regulated learning and personalization using eportfolios a semantic approach based on learning paths |
| topic | Learning path E-learning Ontology Self-regulation Personalization E-portfolio |
| url | http://link.springer.com/article/10.1186/s41239-019-0146-1 |
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