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dc.contributor.authorSergis, S.
dc.contributor.authorSampson, Demetrios
dc.date.accessioned2017-01-30T11:32:59Z
dc.date.available2017-01-30T11:32:59Z
dc.date.created2016-04-26T19:30:22Z
dc.date.issued2016
dc.identifier.citationSergis, S. and Sampson, D. 2016. Learning Object Recommendations for Teachers Based On Elicited ICT Competence Profiles. IEEE Transactions on Learning Technologies. 9 (1): pp. 67-80.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/12820
dc.identifier.doi10.1109/TLT.2015.2434824
dc.description.abstract

Recommender systems (RS) offer personalized services for facilitating the process of appropriate item selection. To perform this task, user profiling mechanisms should be implemented to automatically construct and update meaningful user profiles. These profiles can drive the RS in providing informed recommendations suited to the unique characteristics of each user. In the context of technology enhanced learning (TeL) Recommender Systems, the majority of research focus directly on learners' profiling and ignore the potential benefits of profiling teachers' professional capacities too. As a result, limited previous works exist on effectively capturing and utilizing individual teachers' particular professional characteristics, such as their Digital Competences (commonly referred to as ICT Competences) and exploiting these in systems that support their teaching preparation and practice, for example in the selection of appropriate educational resources. This paper proposes a RS which targets to support teachers in selecting learning objects (LO) from existing LO repositories (LORs) in a unified manner, namely by (a) automatically constructing their ICT Competence Profiles based on their actions within these LORs and (b) exploiting these profiles for more efficient LO selection. Experiments with data from three real-life LORs are presented and evaluation results are discussed to demonstrate the benefits of the proposed system.

dc.publisherInstitute of Electrical and Electronics Engineers
dc.titleLearning Object Recommendations for Teachers Based On Elicited ICT Competence Profiles
dc.typeJournal Article
dcterms.source.volume9
dcterms.source.number1
dcterms.source.startPage67
dcterms.source.endPage80
dcterms.source.issn1939-1382
dcterms.source.titleIEEE Transactions on Learning Technologies
curtin.departmentSchool of Education
curtin.accessStatusOpen access via publisher


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