@article{Huang_Xiangming_Zhang_2021, title={Examining Individual Demographic and School Support Factors Regarding Teachers’ Intention to Use Technology: A Hierarchical Regression Analysis}, volume={16}, url={https://online-journals.org/index.php/i-jet/article/view/22625}, DOI={10.3991/ijet.v16i12.22625}, abstractNote={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.}, number={12}, journal={International Journal of Emerging Technologies in Learning (iJET)}, author={Huang, Miaoqi and Xiangming, Li and Zhang, Jingshun}, year={2021}, month={Jun.}, pages={pp. 289–297} }