The practical quality model for cloud learning system

Anna Kang, Leonard Barolli, Hwayoung Jeong, Jonghyuk Park, Hae Gill Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Learning system has increase user needs with many and various request for more convenient and efficient learning performance. In order to provide this point to user, the develop method for learning system needs to change to more recent it and to apply the characteristics fitting on their system. However the research to identify the quality factors for cloud learning system is very lacked. In this paper, we propose the practical quality model for cloud learning system. For this purpose, we identify their criteria from the existing one, IS (information system) factors from Mclean and Dealon Model. By this proposal, we want to suggest basic criteria fitting on the important factor for cloud learning system.

Original languageEnglish
Title of host publicationAdvanced in Computer Science and Its Applications, CSA 2013
PublisherSpringer Verlag
Pages1437-1442
Number of pages6
ISBN (Print)9783642416736
DOIs
StatePublished - 2014
Event5th FTRA International Conference on Computer Science and its Applications, CSA 2013 - Danang, Viet Nam
Duration: 18 Dec 201321 Dec 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume279 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference5th FTRA International Conference on Computer Science and its Applications, CSA 2013
Country/TerritoryViet Nam
CityDanang
Period18/12/1321/12/13

Keywords

  • cloud computing
  • cloud learning system
  • Mclean and Dealon model
  • QoS model
  • quality attributes

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