Cited by 354Virtual Reality Applications and ImpactsAugmented Reality ApplicationsEducation and Learning Interventions

The potential of immersive virtual reality to enhance learning: A meta-analysis

Open access
Coban, Murat, Bolat, Yusuf Islam, Goksu, Idris·2022·Educational Research Review

Integrity signals

Registry

Crossref · 10.1016/j.edurev.2022.100452

Cites

151 of 151 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

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  • Integrating ICT into education yields small-to-moderate effects on student learning outcomes.

    “The impact results from the literature review indicate that ICT integration on students’ learning outcomes has effects that are small (Coban et al., 2022; Eng, 2005; Higgins et al., 2012; Schmid et al., 2014; Tamim et al., 2015; Zheng et al., 2016) to moderate (Garzón & Acevedo, 2019; Garzón et al., 2020; Liao et al., 2007; Sung et al., 2016; Talan et al., 2020; Wen & Walters, 2022).”

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Authors
Coban, M., Bolat, Y. I., & Goksu, I.
Venue
Educational Research Review
Publisher
Elsevier BV
Published
2022-06
Volume
36
Pages
100452
ISSN
1747-938X (ISSN-L)
OpenAlex
W4220735007
Cited by
354
References
152
Citations by year
2026: 123 · 2025: 99 · 2024: 67 · 2023: 52 · 2022: 13
FWCI
5.39
Type
journal article
Language
en
Open access
Locations
  • Educational Research Review (publishedVersion)
  • Ağrı İbrahim Çeçen University Institutional Repository (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Physical Sciences › Computer Science › Information Systems › Education and Learning Interventions
Keywords
immersive virtual reality, learning outcomes, educational technology, effect size, K-12 education, higher education, head-mounted displays

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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