Methodology for evaluating the quality of distance learning courses in consecutive stages

Abstract

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 f or planning training; and students’ rating is provided. In order to recalculate the fin al 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 use.