Document Type

Article

Original Publication Date

2006

Journal/Book/Conference Title

Education Policy Analysis Archives

Volume

15

Issue

3

First Page

1

DOI

38

Comments

Readers are free to copy, display, and distribute this article, as long as the work is attributed to the author(s) and Education Policy Analysis Archives, it is distributed for non- commercial purposes only, and no alteration or transformation is made in the work. More details of this Creative Commons license are available at http://creativecommons.org/licenses/by-nc-nd/2.5/. All other uses must be approved by the author(s) or EPAA. EPAA is published jointly by the Mary Lou Fulton College of Education at Arizona State University and the College of Education at the University of South Florida. Articles are indexed by H.W. Wilson & Co. Send commentary to Casey Cobb (casey.cobb@uconn.edu) and errata notes to Sherman Dorn (epaa-editor@shermandorn.com).

Date of Submission

June 2014

Abstract

Using data from the National Assessment of Educational Progress (NAEP) state assessment and a survey of state-level technology policies, this study examined digital equity in education as a multilevel organizational phenomenon with data from 70,382 students in 3,479 schools and 40 states. Students in rural schools or schools with higher percentages of African American students were likely to have less access to computers. With respect to computer use, girls and students eligible for free or reduced-price lunch were more likely to use computers more frequently when computers are available in the classroom. With respect to relationships between computer access and computer use, having computers available in a lab increases the likelihood of higher levels of computer use. The results suggested that no more than 5% of the variance in computer access can be attributed to state factors, and less than 1% of the variance in computer use was between states. The findings suggested that where student technology standards are integrated into subject-area standards, computer use was likely lower than in other states. In states where pre-service teachers must meet technology-related requirements to receive their teaching credential and states where funds earmarked for technology are distributed as competitive grants, computer use was likely to be higher.