Structural equation modeling and confirmatory factor analysis of social media use and education

The objective of this study is to design a structural equation model and test confirmatory factor analysis system in order to better explain how students could utilize social networking system (Facebook) for educational purposes. Thus, this paper seeks to examine the attitude, perception and behavio...

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Bibliographic Details
Published in:International Journal of Educational Technology in Higher Education 2019-07, Vol.16 (1), p.1-25, Article 32
Main Authors: Abrahim, Shugufta, Mir, Bilal Ahmed, Suhara, Hayato, Mohamed, Fatin Amirah, Sato, Masahiro
Format: Article
Language:English
Subjects:
Asian students
Collaborative learning
Computer Appl. in Social and Behavioral Sciences
Computer Science
Computers and Education
Confirmatory factor analysis
Dependent variables
Digital media
Discriminant analysis
Education
Educational Objectives
Educational Technology
Facebook
Factor analysis
Foreign languages
Goodness of fit
Higher Education
Humanities
Independent variables
Information Systems Applications (incl.Internet)
Law
Model testing
Non English Speaking
Research Article
Social media
Social networks
Statistics for Social Sciences
Structural equation modeling
Structural equation modelling
Structural Equation Models
Students
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Summary:The objective of this study is to design a structural equation model and test confirmatory factor analysis system in order to better explain how students could utilize social networking system (Facebook) for educational purposes. Thus, this paper seeks to examine the attitude, perception and behaviour of Japanese students’ towards social-networking sites, and how students from non-English speaking backgrounds (especially Japanese students) at the University of Toyama perceive the use of Facebook for learning English as a foreign language. Our Structural Equation Modelling system based Facebook model outline the relations among different types of independent, dependent variables and constructs. We tested our model using adequate fitting indices like Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Non-Normed Fit Index/Tucker Lewis index (NNFI/TLI) and Incremental Fit Index (IFI). The results of the proposed model confirmed the hypothesized latent structures and theoretical validity of probed factors. Conclusions drawn from this study might be useful to better understand the use of social networking tools in educational context.
ISSN:2365-9440
2365-9440
DOI:10.1186/s41239-019-0157-y