Organizational Approach to the Ergonomic Examination of E-Learning Modules Cover Image

Organizational Approach to the Ergonomic Examination of E-Learning Modules
Organizational Approach to the Ergonomic Examination of E-Learning Modules

Author(s): Olena Kupenko, Tetiana Lavryk, Natalia Barchenko, Evgeniy Lavrov
Subject(s): Education
Published by: Vilniaus Universiteto Leidykla
Keywords: e-learning module; expertise; usability evaluation; fuzzy logic

Summary/Abstract: With a significant increase in the number of e-learning resources the issue of quality is of current importance. An analysis of existing scientific and methodological literature shows the variety of approaches, methods and tools to evaluate e-learning materials. This paper proposes an approach based on the procedure for estimating parameters of local factors and receiving the integral index of usability quality of e-learning modules. We present a mathematical model which serves as a basis for the automated procedures for expertise. The use of fuzzy logic allows to reduce greatly the complexity of evaluating the formation of a repository of e-learning modules. The proposed approach is focused on the situation, when the university − has amassed a large number of e-learning modules that have to be assessed in terms of ergonomics; − is able to use experts in ergonomics and organization of e-learning (the experts can provide, as a rule, qualitative assessment); − is limited in resources on the development of special software for evaluation of e-learning modules; − is forced by the need to reduce the cost of expertise to be limited to considering only the main quality indicators that have the greatest impact on the ergonomics of e-learning modules. For automation of the ergonomic examination procedures a MatLab system is used, in particular Fuzzy Logic Toolbox. Application of the well-known mathematical tools and widely used means of processing expert qualitative assessments can significantly reduce the cost of the expertise.

  • Issue Year: 12/2013
  • Issue No: 1
  • Page Range: 107-124
  • Page Count: 18
  • Language: English
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