A Study of Person- Technology Fit in the Cloud Computing Classroom

Jin Han Yong, Wen Lung Shiau, Avus C.Y. Hou

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Cloud computing has been critical and seen more progress in the field of education. Many educational institutions have applied the cloud computing classroom as a platform to engage students learning online. However, there remains a lack of research on users’ perceived fit and performance in the context to better evaluate the efficacy of cloud computing classroom in fulfilling students’ needs. This study attempts to explore whether there is a fit between students’ motivations and characteristics of services provided by the cloud computing classroom, and whether this fit contributes to positive outcome of student performance. Mixed research methods were used because of novelty of cloud computing classroom context. First, propositions were extracted from in-depth interviews. Then, the propositions were converted into hypotheses and were further confirmed by a quantitative survey. The results indicated that the characteristics of the services provided by the cloud computing class room fit user’s needs, and the fit significantly affects users’ performance.

Original languageEnglish
Title of host publicationResearch Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
PublisherIGI Global
Pages2173-2189
Number of pages17
ISBN (Electronic)9781799853404
ISBN (Print)9781799853398
DOIs
StatePublished - 01 01 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, IGI Global.

Fingerprint

Dive into the research topics of 'A Study of Person- Technology Fit in the Cloud Computing Classroom'. Together they form a unique fingerprint.

Cite this