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Cited by 172Child Development and Digital TechnologyImpact of Technology on AdolescentsGender and Technology in Education

A longitudinal study of the effects of internet use and videogame playing on academic performance and the roles of gender, race and income in these relationships

Jackson, Linda A., von Eye, Alexander, Witt, Edward A., Zhao, Yong, Fitzgerald, Hiram E.·2011·Computers in Human Behavior
DOI 10.1016/j.chb.2010.08.001
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Crossref · 10.1016/j.chb.2010.08.001

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  • Depending on the circumstances, the impact of video games on academic achievement could be positive or negative.

    “These environmental variables are likely the reason our dataset shows that, depending on the circumstances, the impact of video games on academic achievement could be positive or negative (Hartanto et al., 2018;Islam et al., 2020;Jackson et al., 2011;Ventura et al., 2012).”

    From Extracurricular Video Game Use and Academic Achievement: A Systematic Literature Review (2026) · cites this paper as Jackson et al., 2011

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Authors
Jackson, L. A., von Eye, A., Witt, E. A., Zhao, Y., & Fitzgerald, H. E.
Affiliations
Michigan State University (US)
Corresponding author
Jackson, Linda A.
ORCID
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2011-01
Volume
27
Issue
1
Pages
228-239
ISSN
0747-5632 (ISSN-L)
DOI
10.1016/j.chb.2010.08.001
OpenAlex
W2042048223
Cited by
172
References
2
Citations by year
2026: 5 · 2025: 7 · 2024: 10 · 2023: 14 · 2022: 17 · 2021: 20 · 2020: 7 · 2019: 8 · 2018: 13 · 2017: 13 · 2016: 15 · 2015: 17 · 2014: 7 · 2013: 9 · 2012: 8
FWCI
28.70
Type
journal article
Language
en
Open access
closed
Licence
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Social Sciences › Education › Child Development and Digital Technology
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Gender Studies › Gender and Technology in Education
Keywords
internet use, academic performance, reading skills, visuospatial ability, grade point average, children, adolescents, gender differences, race, income, educational technology

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