meta-analysis
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- PaperReCALL17 Jul 2026
The effect of high-immersion virtual reality environments on L2 learners’ socio-emotional variables: A meta-analysis
Yulia Khoruzhaya, Kara Moranski, Alexandra Neuenschwander, Nicole Ziegler
A meta-analysis of 18 studies (n=996) found that high-immersion virtual reality (HiVR) significantly improved L2 learners' socio-emotional outcomes, including presence, self-efficacy, motivation, and engagement, while reducing anxiety, compared to low-immersion instruction. The overall effect size was g=0.50, with variability explained by learner proficiency and target language, but not by educational level or VR design features.
Original abstract
The effect of high-immersion virtual reality (HiVR) on second language (L2) learners’ socio-emotional responses has gained increasing attention in recent years, though findings remain mixed. This study meta-analyzed 18 primary studies (31 effect sizes, n = 996) published between 2019 and 2024 to examine (a) the overall effect of HiVR on L2 learners’ socio-emotional variables as compared with low-immersion (2D) language instruction and (b) the extent to which this effect varies as a function of three groups of moderators, including specific socio-emotional variables as well as learner- and treatment-related characteristics. Regarding educational level, the included studies evaluated secondary and postsecondary L2 learners. Using a random-effects model, the resulting aggregate effect size across studies was g = 0.50. Subsequent moderator analyses showed that HiVR significantly increased L2 learners’ sense of presence, self-efficacy, motivation, and engagement, while reducing anxiety as compared to less immersive experiences. Additionally, variability in the effect of HiVR was explained by learners’ proficiency level and target language. No significant moderating effect was identified for educational level, HiVR content, HiVR learning activities, and head-mounted display type. These findings underscore HiVR’s potential as a powerful tool for improving socio-emotional outcomes in L2 learning.
- PaperReCALL13 Jul 2026
The effectiveness of computerized dynamic assessment in improving L2 performance: A three-level meta-analysis
Qi Lu, Mengqi Chen, Lianrui Yang, Shaofeng Li et al.
A three-level meta-analysis of 35 studies found that computerized dynamic assessment (C-DA) has large positive effects on L2 performance, with cake format (mediation embedded in the test) yielding larger effect sizes than sandwich format (mediation between pretest and posttest). Moderator analyses identified number of items, test content, and learners' first language as significant factors influencing C-DA effectiveness.
Original abstract
The growing body of research on the effects of computerized dynamic assessment (C-DA) on second language (L2) learning underscores the need for a comprehensive research synthesis to identify future research directions and inform the application of C-DA in L2 educational contexts. This meta-analysis employed a three-level modeling approach to examine the effectiveness of C-DA in improving L2 learners’ performance. It synthesized 27 effect sizes from cake format designs, in which mediation is embedded within the test sequence, and 24 effect sizes from sandwich format designs, where mediation is delivered between a pretest and a posttest, across 35 studies published between 2000 and May 27, 2025. This study also investigated the key variables that moderate C-DA effectiveness. Findings reveal large, significant positive effects of both the cake and sandwich formats on L2 performance improvement (cake format: g = 2.120, p < .001; sandwich format: g = 1.676, p < .001), with the cake format tending to yield larger effect sizes. This may be because the cake format captures gains during mediation, whereas the sandwich format reflects post-mediation outcomes. Moderator analyses show that the number of items, test content, and learners’ first language affect C-DA effectiveness in promoting L2 performance. Drawing on the synthesized findings, this study contributes to theoretical, methodological, and technological understandings of C-DA and offers suggestions for future research in this domain.