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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/1487

Title: TENCompetence Assessment Model and Related Tools for Non Traditional Methods of Assessment
Authors: Petrov, Milen
Aleksieva-Petrova, Adelina
Stefanov, Krassen
Schoonenboom, Judith
Miao, Yongwu
Keywords: Assessment model
Lifelong competence development
Pportfolio assessment
360 degree feedback
Issue Date: 8-Sep-2008
Abstract: There is no doubt that one of the main reasons for the low popularity of so called de-facto standards in learning environments is their complexity. One way of managing that complexity is to use the rule “divide and conquer”. This is the reason for making small tools supporting work of precisely targeted audiences like assessment designers, students, authors, stakeholders, decision makers and so on. The main idea behind TENCompetence Assessment Model is to be used as integration point of such tools making possible reusability of assessment artefacts. In this paper we present the TENCompetence Assessment Model and discuss the development of a set of software tools for non traditional competence development, which can be used to demonstrate how the model can be used for the implementation of different assessment methods. These tools play the role of the proof-of-concept tools in order to evaluate the usefulness of the proposed model and it’s specification. Their role is to evaluate and verify or reject the TENCompetence assessment model.
Description: Petrov, M., Aleksieva-Petrova, A., Stefanov, K., Schoonenboom, J., & Miao, Y. (2008). TENCompetence Assessment Model and Related Tools for Non Traditional Methods of Assessment. In H. W. Sligte & R. Koper (Eds). Proceedings of the 4th TENCompetence Open Workshop. Empowering Learners for Lifelong Competence Development: pedagogical, organisational and technological issues (pp. 91-96). April, 10-11, 2008, Madrid, Spain: SCO-Kohnstamm Instituut, Amsterdam, The Netherlands. [See also http://hdl.handle.net/1820/1634 ]
URI: http://hdl.handle.net/1820/1487
ISSN: 978-90-6813-8474
Appears in Collections:1. TENC: Publications and Preprints

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