新的MCEQLS TFN方法用于评估学习对象的质量和可重用性

NEW MCEQLS TFN METHOD FOR EVALUATING QUALITY AND REUSABILITY OF LEARNING OBJECTS

Technological and Economic Development of Economy · 2013
被引 18
人大 A-

中文导读

提出一种结合梯形模糊数和多准则评估的简单高效方法,用于专家评估学习对象的质量和可重用性,帮助教育系统选择适合不同教学情境的复用对象。

Abstract

The aim of the paper is to present a new simple to use and efficient MCEQLS (Multiple Criteria Evaluation of the Quality of Learning Software) TFN (Trapezoidal Fuzzy Numbers) method for the expert evaluation of the quality and reusability of learning objects (LOs). MCEQLS and TFN methods are analysed, improved, and practically applied to present the decision analysis process for selecting LOs suitable to reuse in different pedagogical situations and in different education systems. The research results are implemented in eQNet – a three-year strategic pan-European project focused on reusability of LOs. A novel method of consecutive application of Fuzzy Numbers theory to establish the weights of LOs quality criteria and MCEQLS approach to establish final evaluation results are explored in more detail. A number of multiple criteria decision analysis principles are applied to create a comprehensive quality model (criteria system) for evaluating the quality and reusability of LOs. Several practical examples of LOs evaluated against the proposed MCEQLS TFN method are presented in the paper. The research results have shown that the proposed method is quite objective, exact, simple to use, and efficient for selecting qualitative reusable LOs alternatives in the market.

学习对象质量评估梯形模糊数MCEQLS方法学习对象复用性