Towards learning object recommendations based on teachers' ICT competence profiles

© 2014 IEEE. Recommender Systems (RS) have been investigated in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Objects (LOs) selection and retrieval. However, most of the existing approaches focus on the learners' perspective and do not take into considera...

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Main Authors: Sergis, S., Zervas, P., Sampson, Demetrios
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:http://hdl.handle.net/20.500.11937/5828
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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 IEEE. Recommender Systems (RS) have been investigated in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Objects (LOs) selection and retrieval. However, most of the existing approaches focus on the learners' perspective and do not take into consideration teachers' profile. Moreover, the systems that do target teachers, do not explicitly exploit their ICT competence profiles. This can lead to recommending LOs that are beyond the teachers' current ability to use in their teaching practice. In this paper, we aim to tackle this problem and propose, as a first step, a set of mapping rules for aligning teachers' ICT competences and LO metadata elements. Moreover, a preliminary simulated evaluation is described, the results of which indicate that the mapping schema can provide robust identification of appropriate LOs based on both the users' ICT competences and the overall ratings of the educational resources.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:08:53Z
publishDate 2014
publisher Institute of Electrical and Electronics Engineers Inc.
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spelling curtin-20.500.11937-58282017-09-13T14:44:37Z Towards learning object recommendations based on teachers' ICT competence profiles Sergis, S. Zervas, P. Sampson, Demetrios © 2014 IEEE. Recommender Systems (RS) have been investigated in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Objects (LOs) selection and retrieval. However, most of the existing approaches focus on the learners' perspective and do not take into consideration teachers' profile. Moreover, the systems that do target teachers, do not explicitly exploit their ICT competence profiles. This can lead to recommending LOs that are beyond the teachers' current ability to use in their teaching practice. In this paper, we aim to tackle this problem and propose, as a first step, a set of mapping rules for aligning teachers' ICT competences and LO metadata elements. Moreover, a preliminary simulated evaluation is described, the results of which indicate that the mapping schema can provide robust identification of appropriate LOs based on both the users' ICT competences and the overall ratings of the educational resources. 2014 Conference Paper http://hdl.handle.net/20.500.11937/5828 10.1109/ICALT.2014.156 Institute of Electrical and Electronics Engineers Inc. restricted
spellingShingle Sergis, S.
Zervas, P.
Sampson, Demetrios
Towards learning object recommendations based on teachers' ICT competence profiles
title Towards learning object recommendations based on teachers' ICT competence profiles
title_full Towards learning object recommendations based on teachers' ICT competence profiles
title_fullStr Towards learning object recommendations based on teachers' ICT competence profiles
title_full_unstemmed Towards learning object recommendations based on teachers' ICT competence profiles
title_short Towards learning object recommendations based on teachers' ICT competence profiles
title_sort towards learning object recommendations based on teachers' ict competence profiles
url http://hdl.handle.net/20.500.11937/5828