ICT competence-based learning object recommendations for teachers
© 2014 IADIS. Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are stil...
| Main Authors: | , , |
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| Format: | Conference Paper |
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IADIS
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/45685 |
| _version_ | 1848757353795551232 |
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| author | Sergis, S. Zervas, P. Sampson, Demetrios |
| author_facet | Sergis, S. Zervas, P. Sampson, Demetrios |
| author_sort | Sergis, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2014 IADIS. Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are still an under-investigated field. Moreover, the systems that focus on teachers, do not explicitly exploit their ICT competence profiles when providing LO recommendations. This is a significant drawback, since it can result in LO recommendations that are beyond the teachers' competence to use. Towards tackling this issue, this paper extends previous work and proposes a teacher ICT Competence-based RS that considers teachers' ICT Competence Profiles when recommending Learning Objects. Moreover, the results of its accuracy evaluation are presented. The results indicate that the proposed approach provides high predictive accuracy and outperforms commonly used, existing RS approaches. |
| first_indexed | 2025-11-14T09:26:45Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45685 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:26:45Z |
| publishDate | 2014 |
| publisher | IADIS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-456852017-01-30T15:22:36Z ICT competence-based learning object recommendations for teachers Sergis, S. Zervas, P. Sampson, Demetrios © 2014 IADIS. Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are still an under-investigated field. Moreover, the systems that focus on teachers, do not explicitly exploit their ICT competence profiles when providing LO recommendations. This is a significant drawback, since it can result in LO recommendations that are beyond the teachers' competence to use. Towards tackling this issue, this paper extends previous work and proposes a teacher ICT Competence-based RS that considers teachers' ICT Competence Profiles when recommending Learning Objects. Moreover, the results of its accuracy evaluation are presented. The results indicate that the proposed approach provides high predictive accuracy and outperforms commonly used, existing RS approaches. 2014 Conference Paper http://hdl.handle.net/20.500.11937/45685 IADIS restricted |
| spellingShingle | Sergis, S. Zervas, P. Sampson, Demetrios ICT competence-based learning object recommendations for teachers |
| title | ICT competence-based learning object recommendations for teachers |
| title_full | ICT competence-based learning object recommendations for teachers |
| title_fullStr | ICT competence-based learning object recommendations for teachers |
| title_full_unstemmed | ICT competence-based learning object recommendations for teachers |
| title_short | ICT competence-based learning object recommendations for teachers |
| title_sort | ict competence-based learning object recommendations for teachers |
| url | http://hdl.handle.net/20.500.11937/45685 |