Evaluation of E-Learning-Reference-Cited by-同舟云学术

Evaluation of E-Learning

Published:2010-07 Issue:3 Volume:1 Page:33-43
ISSN:1947-8429
Container-title:International Journal of Knowledge Society Research
language:en
Short-container-title:

Author:

Ertl Bernhard¹,Ebner Katharina¹,Kikis-Papadakis Kathy²

Affiliation:

1. Universität der Bundeswehr München, Germany

2. Foundation for Research and Technology – Hellas, Greece

Abstract

Evaluation is an important measure for quality control in e-learning, which aims at improving a learning environment and adapting it to users’ needs, as well as proving values and benefits of a course to financers and participants. However, results and styles of evaluation are subject to the designers’, the evaluators’ and the participants’ individual and socio-cultural backgrounds. This paper examines evaluation from an infrastructure perspective and presents dimensions and parameters for the evaluation of e-learning. The authors take cognitive, epistemological, social and technical infrastructures into account.

Publisher

IGI Global

Reference57 articles.

1. Bell, M., & Farrier, S. (2006). Measuring Success in e-Learning - a Multi-Dimensional Approach. Electronic Journal of e-Learning, 6, 99-110.

2. Quality of project management education and training programmes.;C.-N.Bodea;International Journal of Knowledge Society Research,2010

3. Kurzgefaßte Statistik für die klinische Forschung

4. Buendia Garcia, F., & Hervas Jorge, A. (2006). Evaluating e-learning platforms through SCORM specifications. Paper presented at the IADIS Virtual Multi Conference on Computer Science and Information System (MCCSIS 2006).

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