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Differences in Student Information and Communication Technology Literacy Based on Socio-Economic Status, Ethnicity, and Gender: Evidence of a Digital Divide in Florida Schools

Ritzhaupt, Albert D., Liu, Feng, Dawson, Kara, Barron, Ann E.·2013·Journal of Research on Technology in Education

Abstract

This research examines student information and communication technology (ICT) literacy and its relationships to a student’s socio-economic status (SES), gender, and ethnicity of middle school students. We recruited 5,990 students from 13 school districts across the state of Florida. Student participants completed the Student Tool for Technology Literacy (ST2L), a performance-based assessment of ICT literacy skills based on the 2008 National Educational Technology Standards for Students (NETS.S). Results show a digital divide between low and high SES, white and non-white, and female and male students on all measures of the ST2L. Specifically, high-SES, white, and female students outperformed their counterparts. The results provide compelling evidence of a digital divide within Florida schools. The article discusses the implications of the findings for practice and future research.

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Research works printed but not linked: 21

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Metadata

Authors
Ritzhaupt, A. D., Liu, F., Dawson, K., & Barron, A. E.
Venue
Journal of Research on Technology in Education
Published
2013-06
Volume
45
Issue
4
Pages
291-307
ISSN
  • 1539-1523 (ISSN-L)
  • 1945-0818
OpenAlex
W1969728144
Cited by
195
References
1
FWCI
27.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Differences in Student Information and Communication Technology Literacy Based on Socio-Economic Status, Ethnicity, and Gender: Evidence of a Digital Divide in Florida Schools. https://app.cochat.ai/papers/10.1080/15391523.2013.10782607
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Ritzhaupt, A. D., Liu, F., Dawson, K., & Barron, A. E. (2013). Differences in Student Information and Communication Technology Literacy Based on Socio-Economic Status, Ethnicity, and Gender: Evidence of a Digital Divide in Florida Schools. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2013.10782607

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.