Effectiveness of the Partial Implementation of a Cloud-Based Knowledge Management System

• Main Authors: Zhi-Qin Liu, Evgenij Dorozhkin, Nataliia Davydova, Nadezhda Sadovnikova
• Format: Article
• Language: English
• Published: Kassel University Press 2020-07-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: cloud computing; emerging technologies; knowledge management system; knowledge management.
• Online Access: https://online-journals.org/index.php/i-jet/article/view/14919

Nowadays cloud computing technologies are cost-effective services enabling to generate the learning quality. The goal of this research is to define the borderline of the effectiveness and limitation of the partial implementation of Knowledge Management System based on cloud computing technologies. In view of this, the research in the form of knowledge testing as well as objective and subjective assessment of the learning quality within a wide sampling of 396 students in two independent reference groups was conducted. One of the groups has used traditional methods of the training conducted in classrooms by applying e-learning, and the other one has used the Knowledge Management System based on cloud services under the most budgetary option. As a result, a range of certain differences in the quality of training of two groups was found out and the latter must be used for a further study. According to the results of all tests related to the quality of training, in the group, that has used Knowledge Management Systems and cloud computing technologies, the students have demonstrated results above average in various tests than in the group where these technologies have not been used. The results allow defining specific advanced features of Knowledge Management Systems with the application of cloud computing technologies in the education.