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dc.contributor.authorLiu, Z. -Q.en
dc.contributor.authorDorozhkin, E. M.en
dc.contributor.authorDavydova, N. N.en
dc.contributor.authorSadovnikova, N. O.en
dc.coverage.spatialRSVPUen
dc.coverage.spatialSCOPUSen
dc.date.accessioned2022-05-20T09:20:12Z-
dc.date.available2022-05-20T09:20:12Z-
dc.date.issued2020-
dc.identifier.issn1868-8799-
dc.identifier.otherhttps://www.scopus.com/record/display.uri?origin=resultslist&eid=2-s2.0-85089029506scopus_url
dc.identifier.urihttps://elar.rsvpu.ru/handle/123456789/40064-
dc.description.abstractNowadays 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.en
dc.description.sponsorshipФинансирующий спонсор Номер финансирования Innovation Project of Guangxi Graduate Education JGY2018020, JGY2019031en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherKassel University Press GmbHen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightsAll Open Access, Golden
dc.sourceInternational Journal of Emerging Technologies in Learningen
dc.subjectCLOUD COMPUTINGen
dc.subjectEMERGING TECHNOLOGIESen
dc.subjectKNOWLEDGE MANAGEMENTen
dc.subjectKNOWLEDGE MANAGEMENT SYSTEMen
dc.subjectBUDGET CONTROLen
dc.subjectCLOUD COMPUTINGen
dc.subjectCOST EFFECTIVENESSen
dc.subjectENGINEERING EDUCATIONen
dc.subjectKNOWLEDGE BASED SYSTEMSen
dc.subjectSUBJECTIVE TESTINGen
dc.subjectWELL TESTINGen
dc.subjectCLOUD COMPUTING TECHNOLOGIESen
dc.subjectCOST EFFECTIVEen
dc.subjectKNOWLEDGE MANAGEMENT SYSTEMen
dc.subjectKNOWLEDGE TESTINGen
dc.subjectLEARNING QUALITYen
dc.subjectPARTIAL IMPLEMENTATIONen
dc.subjectREFERENCE GROUPen
dc.subjectSUBJECTIVE ASSESSMENTSen
dc.subjectKNOWLEDGE MANAGEMENTen
dc.titleEffectiveness of the partial implementation of a cloud-based knowledge management systemen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dcterms.audienceOtheren
dcterms.audienceParents and Familiesen
dcterms.audienceResearchersen
dcterms.audienceSchool Support Staffen
dcterms.audienceStudentsen
dcterms.audienceTeachersen
local.description.firstpage155-
local.description.lastpage171-
local.issue13-
local.volume15-
local.identifier.doi10.3991/ijet.v15i13.14919-
local.identifier.scopus85089029506-
local.identifier.eid2-s2.0-85089029506-
local.identifier.affiliationGuilin Tourism University, Liang Feng Road, No.26, Yanshan District, GuiLin, GuangXi province, 541000, Chinaen
local.identifier.affiliationDepartment of Vocational Education and Training Methodology, Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg, 620102, Russian Federationen
local.identifier.affiliationRussian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg, 620102, Russian Federationen
local.identifier.affiliationDepartment of Professional Pedagogy and Psychology, Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg,, 620102, Russian Federationen
local.identifier.sourceScopusen
local.identifier.otherWOS:000549475600010-
local.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089029506&doi=10.3991%2fijet.v15i13.14919&partnerID=40&md5=bf697e66d80e283a51cd5ed9610ef0e4-
local.identifier.wos000549475600010-
local.contributor.employeeLiu, Z.-Q., Guilin Tourism University, Liang Feng Road, No.26, Yanshan District, GuiLin, GuangXi province, 541000, China-
local.contributor.employeeDorozhkin, E.M., Department of Vocational Education and Training Methodology, Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg, 620102, Russian Federation-
local.contributor.employeeDavydova, N.N., Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg, 620102, Russian Federation-
local.contributor.employeeSadovnikova, N.O., Department of Professional Pedagogy and Psychology, Russian State Vocational Pedagogical University, Mashinostroiteley Str., 11, Yekaterinburg,, 620102, Russian Federation-
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