Learning Personalisation Approach Based on Resource Description Framework
Sábháilte in:
| Foilsithe in: | European Conference on e-Learning (Oct 2016), p. 323-330 |
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| Príomhchruthaitheoir: | |
| Rannpháirtithe: | , |
| Foilsithe / Cruthaithe: |
Academic Conferences International Limited
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| Ábhair: | |
| Rochtain ar líne: | Citation/Abstract Full Text Full Text - PDF |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
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| 001 | 1860070014 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2048-8637 | ||
| 022 | |a 2048-8645 | ||
| 035 | |a 1860070014 | ||
| 045 | 2 | |b d20161001 |b d20161031 | |
| 084 | |a 183529 |2 nlm | ||
| 100 | 1 | |a Jevsikova, Tatjana | |
| 245 | 1 | |a Learning Personalisation Approach Based on Resource Description Framework | |
| 260 | |b Academic Conferences International Limited |c Oct 2016 | ||
| 513 | |a Feature | ||
| 520 | 3 | |a The paper is aimed to analyse the problem of learning personalisation applying Resource Description Framework (RDF) standard model. Research results are two-fold: first, the results of systematic literature review on RDF application in learning are presented, and, second, RDF-based learning personalisation approach is proposed. First of all, systematic literature review was conducted in Thomson Reuters Web of Science database and using Semantic Scholar search tool. The review has shown that RDF data model is based upon the idea of making statements about web resources in the form of subject-predicate-object expressions. These expressions are known as triples in RDF terminology. The subject denotes the resource, and the predicate denotes traits or aspects of the resource and expresses a relationship between the subject and the object. The review revealed that linked data and triples-based RDF standard model could be successfully used in education. On the other hand, although linked data approach and RDF standard model are already well-known in scientific literature, only few authors have analysed its application to personalise learning process, but many authors agree that linked data and RDF-based learning personalisation trends should be further analysed. Original RDF-based learning personalisation approach is also presented in the paper. According to this approach, RDF-based personalisation of learning should be based on applying students' learning styles and intelligent technologies. The main advantages of this approach are analyses of interconnections between students' learning styles and suitable learning components (i.e. learning resources, learning methods and activities, learning tools and technologies etc.) based on using pedagogically sound vocabularies of learning components, experts' collective intelligence, and intelligent technologies (e.g. expert evaluation, ontologies, recommender systems, software agents etc.). This pedagogically sound RDF-based personalisation approach is aimed at improving learning quality and effectiveness. | |
| 653 | |a Ontology | ||
| 653 | |a Intelligent systems | ||
| 653 | |a Students | ||
| 653 | |a Research | ||
| 653 | |a Science | ||
| 653 | |a Learning | ||
| 653 | |a Cognitive style | ||
| 653 | |a Semantics | ||
| 653 | |a Metadata | ||
| 653 | |a Pedagogy | ||
| 653 | |a Semantic web | ||
| 653 | |a Linked Data | ||
| 653 | |a Recommender systems | ||
| 653 | |a Knowledge organization | ||
| 653 | |a Literature reviews | ||
| 653 | |a Resource Description Framework-RDF | ||
| 653 | |a Databases | ||
| 653 | |a Quality standards | ||
| 653 | |a Educational Resources | ||
| 653 | |a Learning Processes | ||
| 653 | |a Educational Technology | ||
| 653 | |a Educational Needs | ||
| 700 | 1 | |a Berniukevièius, Andrius | |
| 700 | 1 | |a Kurilovas, Eugenijus | |
| 773 | 0 | |t European Conference on e-Learning |g (Oct 2016), p. 323-330 | |
| 786 | 0 | |d ProQuest |t Education Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1860070014/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/1860070014/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1860070014/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |