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International Journal of Emerging Technologies in LearningVolume 15, Issue 13, 2020, Pages 155-171

Effectiveness of the partial implementation of a cloud-based knowledge management system(Article)(Open Access)

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  • aGuilin Tourism University, Liang Feng Road, No.26, Yanshan District, GuiLin, GuangXi province, 541000, China
  • bDepartment of Vocational Education and Training Methodology, Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg, 620102, Russian Federation
  • cRussian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg, 620102, Russian Federation
  • dDepartment of Professional Pedagogy and Psychology, Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg,, 620102, Russian Federation

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.

Author keywords

Cloud computingEmerging technologiesKnowledge managementKnowledge management system

Indexed keywords

Engineering controlled terms:Budget controlCloud computingCost effectivenessEngineering educationKnowledge based systemsSubjective testingWell testing
Engineering uncontrolled termsCloud computing technologiesCost effectiveKnowledge management systemKnowledge testingLearning qualityPartial implementationReference groupSubjective assessments
Engineering main heading:Knowledge management

Funding details

Funding sponsor Funding number Acronym
JGY2018020,JGY2019031
  • 1

    Zhi-Qin Liu was supported by Innovation Project of Guangxi Graduate Education (JGY2018020; JGY2019031); Research on the Theory and Practice of Ideological and Political Education for College Students in Guangxi.

  • ISSN: 18688799
  • Source Type: Journal
  • Original language: English
  • DOI: 10.3991/ijet.v15i13.14919
  • Document Type: Article
  • Publisher: Kassel University Press GmbH

  Liu, Z.-Q.; Guilin Tourism University, Liang Feng Road, No.26, Yanshan District, GuiLin, GuangXi province, China;
© Copyright 2021 Elsevier B.V., All rights reserved.

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