Using semantic web technologies to analyze learning content
Samo za registrovane korisnike
2007
Autori
Jovanović, JelenaDevedžić, Vladan
Gašević, Dragan
Hatala, Marek
Eap, Timmy
Richards, Griff
Brooks, Christopher
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
The authors demonstrate how to use Semantic Web technologies to improve the state-of-the-art in online learning environments and bridge the gap between students on the one hand, and authors or teachers on the other. The ontological framework presented here helps formalize learning object context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse learning artifacts. On top of this framework, the authors implemented several feedback channels for educators to improve the delivery of future Web-based courses.
Izvor:
IEEE Internet Computing, 2007, 11, 5, 45-53Izdavač:
- IEEE Computer Soc, Los Alamitos
DOI: 10.1109/MIC.2007.116
ISSN: 1089-7801
WoS: 000249437000007
Scopus: 2-s2.0-35148885087
Institucija/grupa
Fakultet organizacionih naukaTY - JOUR AU - Jovanović, Jelena AU - Devedžić, Vladan AU - Gašević, Dragan AU - Hatala, Marek AU - Eap, Timmy AU - Richards, Griff AU - Brooks, Christopher PY - 2007 UR - https://rfos.fon.bg.ac.rs/handle/123456789/409 AB - The authors demonstrate how to use Semantic Web technologies to improve the state-of-the-art in online learning environments and bridge the gap between students on the one hand, and authors or teachers on the other. The ontological framework presented here helps formalize learning object context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse learning artifacts. On top of this framework, the authors implemented several feedback channels for educators to improve the delivery of future Web-based courses. PB - IEEE Computer Soc, Los Alamitos T2 - IEEE Internet Computing T1 - Using semantic web technologies to analyze learning content EP - 53 IS - 5 SP - 45 VL - 11 DO - 10.1109/MIC.2007.116 UR - conv_1176 ER -
@article{ author = "Jovanović, Jelena and Devedžić, Vladan and Gašević, Dragan and Hatala, Marek and Eap, Timmy and Richards, Griff and Brooks, Christopher", year = "2007", abstract = "The authors demonstrate how to use Semantic Web technologies to improve the state-of-the-art in online learning environments and bridge the gap between students on the one hand, and authors or teachers on the other. The ontological framework presented here helps formalize learning object context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse learning artifacts. On top of this framework, the authors implemented several feedback channels for educators to improve the delivery of future Web-based courses.", publisher = "IEEE Computer Soc, Los Alamitos", journal = "IEEE Internet Computing", title = "Using semantic web technologies to analyze learning content", pages = "53-45", number = "5", volume = "11", doi = "10.1109/MIC.2007.116", url = "conv_1176" }
Jovanović, J., Devedžić, V., Gašević, D., Hatala, M., Eap, T., Richards, G.,& Brooks, C.. (2007). Using semantic web technologies to analyze learning content. in IEEE Internet Computing IEEE Computer Soc, Los Alamitos., 11(5), 45-53. https://doi.org/10.1109/MIC.2007.116 conv_1176
Jovanović J, Devedžić V, Gašević D, Hatala M, Eap T, Richards G, Brooks C. Using semantic web technologies to analyze learning content. in IEEE Internet Computing. 2007;11(5):45-53. doi:10.1109/MIC.2007.116 conv_1176 .
Jovanović, Jelena, Devedžić, Vladan, Gašević, Dragan, Hatala, Marek, Eap, Timmy, Richards, Griff, Brooks, Christopher, "Using semantic web technologies to analyze learning content" in IEEE Internet Computing, 11, no. 5 (2007):45-53, https://doi.org/10.1109/MIC.2007.116 ., conv_1176 .