You are here:

Investigating models for preservice teachers’ use of technology to support student-centered learning
ARTICLE

Computers & Education Volume 55, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

The study addressed two limitations of previous research on factors related to teachers’ integration of technology in their teaching. It attempted to test a structural equation model (SEM) of the relationships among a set of variables influencing preservice teachers’ use of technology specifically to support student-centered learning. A review of literature led to a path model that provided the design and analysis for the study, which involved 206 preservice teachers in the United States. The results show that the proposed model had a moderate fit to the observed data, and a more parsimonious model was found to have a better fit. In addition, preservice teachers’ self-efficacy of teaching with technology had the strongest influence on technology use, which was mediated by their perceived value of teaching and learning with technology. School’s contextual factors had moderate influence on technology use. Moreover, the effect of preservice teachers’ training on student-centered technology use was mediated by both perceived value and self-efficacy of technology. The implications for teacher preparation include close collaboration between teacher education program and field experience, focusing on specific technology uses.

Citation

Chen, R.J. (2010). Investigating models for preservice teachers’ use of technology to support student-centered learning. Computers & Education, 55(1), 32-42. Elsevier Ltd. Retrieved October 22, 2019 from .

This record was imported from Computers & Education on April 19, 2013. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://www.eric.ed.gov/ERICWebPortal/detail?accno=EJ878003

Keywords

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.