Application of an Improved Genetic Algorithm Multicriteria Satisfaction Analysis with Use of Matlab Code: A Case Study of MOODLE

Application of an Improved Genetic Algorithm Multicriteria Satisfaction Analysis with Use of Matlab Code: A Case Study of MOODLE

This paper presents an evaluation of user satisfaction with the MOODLE platform using the Genetic Algorithm Multicriteria Satisfaction Analysis (GA-MUSA) method, and compares the results to the conventional MUSA method. A questionnaire was developed and administered to 100 participants (students and...

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Bibliographic Details
Main Authors: Evgenios Avgerinos, Nikolaos Manikaros, Roza Vlachou
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2023-04-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
moodle
genetic algorithm (ga)
case study
software evaluation
multicriteria satisfaction analysis (musa)
Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/SA699AS23.pdf
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