Methodology for Evaluating the Quality of Distance Learning Courses in Consecutive Stages

被引：13

作者：

Vinogradova, Irina ^{[1
,2
]}

Kliukas, Romualdas ^{[2
]}

机构：

[1] Vilnius Univ, Inst Math & Informat, 4 Akad St, LT-08663 Vilnius, Lithuania

[2] Vilnius Gediminas Tech Univ, LT-10223 Vilnius, Lithuania

来源：

Proceedings of 6th World Conference on Educational Sciences | 2015年 / 191卷

关键词：

Distance learning courses; quality evaluation methodology; weights; Analytic Hierarchy Process; MCDM; method stability; Bayes' formula;

D O I：

10.1016/j.sbspro.2015.04.364

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The paper presents a new methodology for evaluating the quality of distance learning courses. Evaluation takes place in three stages: content subject experts in the field inspect the material; IT specialists inspect the effectiveness of the tools used for planning training; and students' rating is provided. In order to recalculate the final distance course quality assessment of each expert group stages of evaluation of significance, the Bayes' formula is used. The publication presents the system of criteria for course quality evaluation. The authors use Multiple Criteria Decision Making (MCDM) methods to determine the best course. To estimate the importance weights of the criteria, the Analytical Hierarchy Process Fuzzy (AHPF) method is used. (C) 2015 The Authors. Published by Elsevier Ltd.

引用

页码：1583 / 1589

页数：7

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