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

Abstract

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.

Technology acceptance of four digital learning technologies (classroom response system, classroom chat, e-lectures, and mobile virtual reality) after three months’ usage

“…The TAM is the most widely employed and best known model to measure acceptance of various technologies (Estriegana, Medina-Merodio, & Barchino, 2019). It was successfully applied to a multitude of technologies such as social media (Abrahim, Mir, Suhara, Mohamed, & Sato, 2019;Dumpit & Fernandez, 2017), virtual learning environments (Kurt & Tingöy, 2017), mobile and digital libraries (Hamaad Rafique, Shamim, & Anwar, 2019), learning analytics visualization (Papamitsiou & Economides, 2015), and gamification (Rahman, Ahmad, & Hashim, 2018) and across many cultures (Cheung & Vogel, 2013;H. Rafique et al, 2018).…”

Attitude Evaluation on Using the Neuromarketing Approach in Social Media: Matching Company’s Purposes and Consumer’s Benefits for Sustainable Business Growth

“…This research designing process led to the following four objectives for each study, as can be seen in Table 1. Considering that this type of approach was not found in other papers (putting in the same model the results of two separate studies on neuromarketing use in social media), we started our research design from one of our 2019 working papers [61], in which the authors were testing a model for social media use and education, based on the Technology Acceptance Model (TAM) developed by Davis [62]. TAM was one of the most popular prediction-oriented research models dedicated to predicting the primary motivational factors for the use and acceptance of new technologies and systems [58], thus we were able to adapt it to our research envision and build on the purpose/benefit parallel analysis.…”

Analysis of Influencing Factors of Teaching Effect Based on Structural Equation Model

“…e influence of the Figure 1: e conceptual composition model of the influencing factors of case teaching effect. 4 Complexity latent independent variable matrix on the latent dependent variable matrix ζ; ζ is the residual matrix of the structural equation model y; it reflects the part that cannot be explained in the equation. e measurement model form is as follows:…”

“…is paper selects teachers, cases, and students that are closely related to the effect of classroom case teaching, uses structural equation modeling to evaluate the effect of case teaching, and discusses the direct and indirect effects of the three factors on the effect of case teaching [4]. Based on this, this article starts with the three factors influencing the effect of case teaching and proposes suggestions for improving the quality of case teaching and improving the effect of case teaching.…”