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Cited by 314

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Effects of traditional, blended and e‐learning on students' achievement in higher education

Open access
Al‐Qahtani, Awadh A.Y., Higgins, S.E.·2013·Journal of Computer Assisted Learning

Abstract

The study investigates the effect of e‐learning, blended learning and classroom learning on students’ achievement. Two experimental groups together with a control group from U mm A l‐Q ura U niversity in S audi A rabia were identified randomly. To assess students’ achievement in the different groups, pre‐ and post‐achievement tests were used. The results of the study (N = 148) show that there was a statistically significant difference between the three methods in terms of students’ achievement favouring the blended learning method (n = 55) with a substantial effect size of 1.34 (H edges’ g). No significant difference was found between the e‐learning (n = 43) and traditional learning groups (n = 50) in terms of students’ achievement and with a negligible effect size of 0.02.

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Crossref · 10.1111/j.1365-2729.2012.00490.x

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Metadata

Authors
Al‐Qahtani, A. A. Y., & Higgins, S. E.
Venue
Journal of Computer Assisted Learning
Publisher
Wiley
Published
2012-08-23
Volume
29
Issue
3
Pages
220-234
ISSN
  • 0266-4909 (ISSN-L)
  • 1365-2729
OpenAlex
W1934129801
Cited by
314
References
56
FWCI
38.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Effects of traditional, blended and e‐learning on students' achievement in higher education. https://app.cochat.ai/papers/10.1111/j.1365-2729.2012.00490.x
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Al‐Qahtani, A. A. Y., & Higgins, S. E. (2013). Effects of traditional, blended and e‐learning on students' achievement in higher education. Journal of Computer Assisted Learning. https://doi.org/10.1111/j.1365-2729.2012.00490.x

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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.