Name
Abstract | ||
|---|---|---|
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framework that captures the information about the interaction between learning objects (LOs) and four main roles in the educational process (content author, instructional designer, teacher, and learner), and then according to this information proposes the most relevant learning content to the author. The central part of the framework is the Request-Recommendation ontology that formalizes the author's request along with a set of learning content proposals (recommendation), as a response to that request. Furthermore, we propose the use of a weighting scheme to calculate the weight of the content proposals and thus enable their ranking within the recommendation. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICALT.2007.64 | 7TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS |
Keywords | Field | DocType |
information analysis,ontologies,instructional design,semantic web,feedback,human computer interaction,information systems,informatics | Ontology (information science),Information system,Ontology,World Wide Web,Ranking,Information retrieval,Computer science,Authoring system,Semantic Web,Learning object,Instructional design,Multimedia | Conference |
Citations | PageRank | References |
5 | 0.52 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saša Nešić | 1 | 42 | 5.89 |
| Dragan Gasevic | 2 | 1569 | 150.79 |
| Mehdi Jazayeri | 3 | 1280 | 176.00 |