Effect of demographic profiles on the factors affecting the teachers reasons to integrate technology

Victor V. Hafalla Jr.
School of Engineering and Architecture
ORCID ID: https://orcid.org/0000-0002-8806-9824
email: vicwin123@yahoo.com/@gmail.com


Previous studies on educational technology integration for teaching indicated that the following factors influence a teachers’ decision to integrate technology into classroom teaching: 1. facilitative use of technology in learning (FTL), 2. students’ perception of teachers who use technology (SP), 3. use of technology in experimentation and simulation (ES), 4. use of technology for visualization and observation (VO), 5. overcoming difficulties in teaching (ODT), 6.school requirement (SR), 7. for teachers convenience in teaching (TC), 8. for good evaluation of teachers (GE), and 9. for use in class organization and management (COM). The study determined the level of importance that the teachers assign to the factors and investigated the effect of their demographic profiles unto the different factor constructs (age, teaching experience, gender, educational level). Results showed that teachers find it most important to adopt technology for class organization and management (COM), in using technology for visualization and observation (VO), and for facilitating learning (FTL) implying their pragmatic preferences for using technology. Only the model for SP was found to be statistically significant using multiple regression analysis. Age was seen to be a significant predictor for FTL. However, there was a marked descending trend of the respondents’ mean scores for FTL considering the respondents’ age corroborating earlier findings on the association between technology adoption and the teachers’ age and Educational Level (Master) was found to be a significant predictor for SR which is due to the effect of institutional and governmental policies, age, teaching experience, and training. Results further indicate that teachers also tend to give importance to adopting technology for good evaluation.

Keywords: technology integration, teaching with technology, demographic profile, multiple regression analysis, modeling

January 15, 2019
[show_post_categories show=”category” separator=”| ” hyperlink=”yes”]

Source: UB Research Journal, Vol. 42, No. 1 January-June 2018