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  • Title: ➤  The Impact Of Textual Enhancement On Second Language Acquisition: A Three-Level Meta-Analysis
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This study employs a three-level meta-analytic framework to systematically evaluate the impact of textual enhancement (TE)—visual modifications such as bolding, color-coding, or underlining—on second language acquisition (SLA) outcomes, including vocabulary retention, grammatical accuracy, and reading proficiency. The primary objective is to quantify the aggregate effect size of TE interventions while addressing methodological limitations in prior meta-analyses, particularly the dependency of multiple effect sizes within individual studies. A comprehensive search across databases (Web of Science, PubMed, EBSCO, etc.) will identify peer-reviewed studies published between 2013 and 2025, adhering to PRISMA 2020 guidelines for screening, data extraction, and quality assessment. Key moderators such as learner age (children, adolescents, adults), language context (second vs. foreign language), enhancement type (single vs. multimodal), and target form properties (frequency, complexity) will be examined to elucidate boundary conditions. Expected outcomes include a small-to-moderate overall effect (Hedges’ g ≈ 0.20–0.40), with stronger effects anticipated for adult learners, single-modality enhancements, and immersive second language environments. The findings aim to resolve theoretical debates between Schmidt’s (2001) Noticing Hypothesis and dynamic systems perspectives, while providing evidence-based recommendations for optimizing TE design in language pedagogy. Potential limitations, such as heterogeneity in TE operationalization and publication bias, will be rigorously assessed through sensitivity analyses. By integrating advanced statistical modeling with a nuanced theoretical lens, this study advances both methodological rigor and practical insights in SLA research.

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"The Impact Of Textual Enhancement On Second Language Acquisition: A Three-Level Meta-Analysis" is available for download from The Internet Archive in "data" format, the size of the file-s is: 0.11 Mbs, and the file-s went public at Sat Apr 12 2025.

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  • Added Date: 2025-04-12 11:34:11
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