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.
Highlights
The aim of the paper is to investigate, propose, and demonstrate examples of practical application of MCEQLS (Multiple Criteria Evaluation of the Quality of Learning Software) trapezoidal fuzzy numbers (TFNs) (Trapezoidal Fuzzy Numbers) method for the expert evaluation of the quality and reusability of learning objects (LOs)
MCEQLS TFN method is convenient in the case when there are many probably qualitative alternatives in the market
Research results presented in the paper show that the original MCEQLS TFN method for evaluating quality and reusability of LOs (a) is applicable in real life situations when educational institutions decide on reusing LOs for their educational needs, and (b) could significantly improve the quality of the expert evaluation of LOs by noticeably reducing the expert evaluation subjectivity level
Summary
The aim of the paper is to investigate, propose, and demonstrate examples of practical application of 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). This problem is of very high practical importance for the educational sector (both Universities and schools) that needs exact, clear, simple to use and efficient models and methods for evaluating the quality and reusability of LOs in the market, both proprietary and open ones. This means that any high quality LO has some reusability level (or potential to “travel well”), but this does not mean that any reusable LO is qualitative one
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