Pregled bibliografske jedinice broj: 632639
A Survey on LMS Context Dimensions for Teacher- Oriented Recommender Systems
A Survey on LMS Context Dimensions for Teacher- Oriented Recommender Systems // International journal: emerging technologies in learning, 8 (2013), 3; 23-29 doi:10.3991/Fijet.v8i3.2731 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 632639 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Survey on LMS Context Dimensions for Teacher- Oriented Recommender Systems
Autori
Bosnić, Ivana ; Orlić, Marin ; Žagar, Mario
Izvornik
International journal: emerging technologies in learning (1868-8799) 8
(2013), 3;
23-29
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
context; learning management system; recommender system; content authoring
Sažetak
In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context- aware recommender systems, which would recommend relevant learning objects to be included in the course. Context data can be obtained, among other sources, from an existing learning environment. This paper describes a two-phase survey of four LMSs – Chamilo, Claroline, Ilias and Moodle – and their characteristics suitable for creating an LMS part of a context model, which would be suitable to implement in recommender systems for this purpose. A sample set of use cases is given, which describes how teachers and content authors could use the system. Based on the survey results, a set of context model dimensions is proposed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0361959-1965 - Programsko inženjerstvo u sveprisutnom računarstvu (Žagar, Mario, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
Uključenost u ostale bibliografske baze podataka::
- INSPEC
- dblp computer science bibliography
- Ulrichs web global serials directory
- DOAJ directory of open access journals
- EBSCO publishing
- Google Scholar