Open Universiteit
   About DSpace Software Open Universiteit border=

DSpace at Open Universiteit >
b. TENCompetence >
1. TENC: Publications and Preprints >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/959

Title: The TenC Competence Observatory: An Enabling Technology for Common Description of Competences
Authors: Zervas, Panayiotis
Sampson, Demetrios
Keywords: Competence
Competence Description
Competence Observatory
Issue Date: 1-Jun-2007
Abstract: Over the years competence-based approaches in the field of formal and non-formal education are becoming more common and appear to offer the opportunity to develop flexible e-training programs that bare the potential to meet lifelong learning needs. For corporate training a competence-based approach may help in identifying competence gaps towards designing competence development programmes for improving employees’ performance. In order to provide competence based training, a clear description of competences is needed. However, different organizations may define the same competences in different ways due to different organizational processes. Thus, enabling technologies and infrastructures for facilitating the synchronization for the creation of commonly identifiable competence descriptions are required. In this paper, we argue that the use of web-based observatories as enabling technology for common description of competences can serve this purpose, and we present the TenC Competence Observatory demonstrating the potential of this approach.
Description: P. Zervas and D. Sampson, "The TenC Competence Observatory: An Enabling Technology for Common Description of Competences", in J. M. Spector, D. Sampson, T. Okamoto, Kinshuk, S. A. Cerri, M. Ueno and A. Kashihara (Eds). Proc. of the 7th IEEE International Conference on Advanced Learning Technologies (ICALT 2007), ISBN: 9780769529165, pp. 765-769, Niigata, Japan, IEEE Computer Society, July 2007
URI: http://hdl.handle.net/1820/959
Appears in Collections:1. TENC: Publications and Preprints

Files in This Item:

File Description SizeFormat
376_Sam.pdf1.86 MBAdobe PDFView/Open
View Statistics

This item is licensed under a Creative Commons License
Creative Commons

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Copyright © 2003 - 2010 Open Universiteit - Feedback