Journal article
Effectiveness of EMI in higher education: a multi-level meta-analysis
- Abstract:
 - This study is one of the first comprehensive multi-level meta-analyses investigating the effects of English Medium Instruction in higher education. It synthesizes a total of 41 samples, comprising a total of 8,747 participants, from 28 quantitative studies, including 23 samples on content learning (7,659 participants) and 18 on English performance (1,088 participants). A comparison of EMI students’ post-test and pre-test scores (within-group comparison) revealed that students significantly improved on measures of content knowledge (d = 1.57, p < .001) and English proficiency (d = 0.81, p < .001), although we acknowledge that this finding does not account for external factors or establish causality. A comparison of post-test performance between EMI and non-EMI groups (between-group comparison), which aimed to assess EMI's effectiveness relative to non-EMI, showed that EMI students achieved comparable outcomes in content learning (d = 0.13, p = 0.14) and significantly outperformed non-EMI students in English development (d = 0.33, p = 0.009). Moderator analyses further revealed that studies with methodological limitations, such as selection biases for within-group comparisons or unaddressed group homogeneity for between-group comparisons, often overestimate the effectiveness of EMI for content learning. Based on our findings, we offer practical implications for the implementation of EMI in higher education.
 
- Publication status:
 - Published
 
- Peer review status:
 - Peer reviewed
 
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- Files:
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                        (Preview, Accepted manuscript, pdf, 1.5MB, Terms of use)
 
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- Publisher copy:
 - 10.1016/j.system.2025.103755
 
Authors
- Publisher:
 - Elsevier
 - Journal:
 - System More from this journal
 - Volume:
 - 133
 - Article number:
 - 103755
 - Publication date:
 - 2025-06-24
 - Acceptance date:
 - 2025-06-19
 - DOI:
 - EISSN:
 - 
                    1879-3282
 - ISSN:
 - 
                    0346-251X
 
- Language:
 - 
                    English
 - Keywords:
 - Pubs id:
 - 
                  2133309
 - Local pid:
 - 
                    pubs:2133309
 - Deposit date:
 - 
                    2025-07-24
 
Terms of use
- Copyright holder:
 - Elsevier Ltd
 - Copyright date:
 - 2025
 - Rights statement:
 - © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
 - Notes:
 - The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
 
- Licence:
 - CC Attribution (CC BY)
 
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