Please use this identifier to cite or link to this item: https://elar.rsvpu.ru/handle/123456789/40064
Title: Effectiveness of the partial implementation of a cloud-based knowledge management system
Authors: Liu, Z. -Q.
Dorozhkin, E. M.
Davydova, N. N.
Sadovnikova, N. O.
Issue Date: 2020
Publisher: Kassel University Press GmbH
Abstract: 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. © 2020 Kassel University Press GmbH.
Keywords: CLOUD COMPUTING
EMERGING TECHNOLOGIES
KNOWLEDGE MANAGEMENT
KNOWLEDGE MANAGEMENT SYSTEM
BUDGET CONTROL
CLOUD COMPUTING
COST EFFECTIVENESS
ENGINEERING EDUCATION
KNOWLEDGE BASED SYSTEMS
SUBJECTIVE TESTING
WELL TESTING
CLOUD COMPUTING TECHNOLOGIES
COST EFFECTIVE
KNOWLEDGE MANAGEMENT SYSTEM
KNOWLEDGE TESTING
LEARNING QUALITY
PARTIAL IMPLEMENTATION
REFERENCE GROUP
SUBJECTIVE ASSESSMENTS
KNOWLEDGE MANAGEMENT
ISSN: 1868-8799
DOI: 10.3991/ijet.v15i13.14919
SCOPUS: 85089029506
WoS: 000549475600010
metadata.dc.description.sponsorship: Финансирующий спонсор Номер финансирования Innovation Project of Guangxi Graduate Education JGY2018020, JGY2019031
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS

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