A Competency-Based Learning Resource Retrieval Process: The LUISA-UHP Case-Study
| Autor: | Monique Grandbastien |
|---|---|
| Přispěvatelé: | Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Henri Poincaré - Nancy 1 (UHP), IFIP TC3, Arthur Tatnall and Anthony Jones, Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Computer science
Process (engineering) [SHS.EDU]Humanities and Social Sciences/Education Semantic based search 02 engineering and technology Ontology (information science) computer.software_genre ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.0: General Resource (project management) 0202 electrical engineering electronic engineering information engineering ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION ontology Competence (human resources) competencies Information retrieval 05 social sciences metadata learning resource 050301 education ACM: K.: Computing Milieux Metadata Competency-based learning Ontology retrieving process Semantic technology 020201 artificial intelligence & image processing [INFO.EIAH]Computer Science [cs]/Technology for Human Learning Web service 0503 education computer |
| Zdroj: | proc 9th TC3 World Conference on Computers in Education 9th TC3 World Conference on Computers in Education 9th TC3 World Conference on Computers in Education, IFIP TC3, Jul 2009, Bento Goncalves, Brazil. 10 p, ⟨10.1007/978-3-642-03115-1⟩ Education and Technology for a Better World ISBN: 9783642031144 WCCE |
| DOI: | 10.1007/978-3-642-03115-1⟩ |
| Popis: | This is an intermediate version of the final version which is available from http://www.springerlink.com . The power point presentation is also available, with more screen copies from the system; International audience; The paper describes a global framework enabling competency-based search of learning resources making a heavy use of semantic technologies. First it presents the generic components. Then it exemplifies how this framework can be adapted to a given environment, i.e. which knowledge representations, Web Services descriptions and other components have to be tailored or added to the framework. Then it shows step by step how a query is processed, Finally, users' feedback, lessons learnt and future trends are provided as well as comparisons with other approaches already published about annotating and retrieving learning objects in Learning Objects Repositories. |
| Databáze: | OpenAIRE |
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