Examining Individual Demographic and School Support Factors Regarding Teachers’ Intention to Use Technology: A Hierarchical Regression Analysis


  • Miaoqi Huang Dalian Polytechnic University
  • Li Xiangming Tsinghua University
  • Jingshun Zhang Florida Gulf Coast University




Hierarchical Regression Analysis, Individual Demographic Variables, Intention to Use Technology, School Support


A proliferation of literature documented the correlation between the teachers’ use of technology and the factors of technostress, burnout as well as the peda-gogical content knowledge. Yet insufficient findings explored the impacting factors of demographic factors of individual teachers and school support on educational use of technology. Hierarchical regression employed in this study advanced the traditional regression analysis of individual demographic factors, added by the second-step of school support model. The statistical results sup-ported both hypotheses that Model 1 of individual factors and Model 2 of the combined factors of individual and school support significantly predicted teachers’ use of technology. In addition, the study results showed that R square value progressed from 0.26 in model 1 to 0.60 in Model 2, implying the additional 34% of the variance explained by the combined factors collectively. The findings shed lights on in robustness of the models in predicting teachers’ in-tention to use technology and the school administrative policy in advocating the persistent use of ICT in educational settings.

Author Biographies

Miaoqi Huang, Dalian Polytechnic University

Miaoqi Huang is an Assistant Researcher in Human Resources Department of Dalian Polytechnic University, P.R. China. Her research area focuses on the study of faculty professional development and school support policy in tertiary settings. Her Email: huangmq@dlpu.edu.cn.

Li Xiangming, Tsinghua University

Li Xiangming is an Associate Professor in Shenzhen International Graduate School, Tsinghua University, P. R. China. Her research interests include mobile learning and instructional design in higher educational settings, and EFL teaching. Her Email: lixm@sz.tsinghua.edu.cn.

Jingshun Zhang, Florida Gulf Coast University

Jingshun is an Associate Professor in College of Education, Florida Gulf Coast University, USA. His research interests mainly include classroom assessment, research meth-odology and cognitive diagnostic assessment. His email: jzhang@fgcu.edu.




How to Cite

Huang, M., Xiangming, L., & Zhang, J. (2021). Examining Individual Demographic and School Support Factors Regarding Teachers’ Intention to Use Technology: A Hierarchical Regression Analysis. International Journal of Emerging Technologies in Learning (iJET), 16(12), pp. 289–297. https://doi.org/10.3991/ijet.v16i12.22625



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