Toward a Typology of Technology-Using Teachers: A Latent Class Analysis of National Center for Education Statistics FRSS 95

• In Event: Roundtable Session 53
  In Roundtable Session: Examining How and Why Teachers Use Digital Technology

Abstract

The purpose of this research is to investigate the extent to which there is a typology of teachers who use technology using the NCES FRSS95 dataset. The amount of prior research on teachers’ technology use is comprehensive; however, there are few studies that describe teachers’ technology habits by examining subgroups of individuals. Using latent class analysis (LCA) with a nationally representative dataset (n=1,499), results show that there are four significantly different typologies of technology-using teachers: Dexterous, Presenters, Assessors, and Evaders. Furthermore, contextual factors, like students on free/reduced lunch and total available classroom computers, are significantly associated with the odds of belonging to some of the groups. Implications on school technology culture, professional learning, and technology leadership will be discussed.

Authors

• Kenneth E. Graves, Teachers College, Columbia University

• Alex J. Bowers, Teachers College, Columbia University