This review integrates recent findings on foreign language reading anxiety and the impact of instructional strategies, suggesting technology-assisted interventions may enhance language learning.
Foreign language reading anxiety (FLRA) remains a significant challenge for learners of Chinese as a Foreign Language (CFL), affecting their reading comprehension and overall language proficiency. Zhou (2017) provided a foundational analysis of FLRA, identifying key contributors such as comprehension difficulties, pronunciation-related stress, and cognitive overload associated with logographic scripts. However, Zhou’s study leaves several critical aspects unexplored, including the dynamic nature of FLRA over time, variations in FLRA between heritage and non-heritage learners, and the potential of technology-assisted interventions in mitigating reading anxiety. We expand on Zhou’s 2017 findings by integrating recent empirical research on metacognitive strategies, AI-driven learning tools, and differentiated instructional approaches. Additionally, this paper highlights future research directions, including the necessity of longitudinal studies to track FLRA progression, the effectiveness of blended learning approaches, and the role of learner variability in shaping reading anxiety experiences. By addressing these gaps, this response offers a more comprehensive framework for understanding and alleviating FLRA, with implications for CFL curriculum design and instructional practice.
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Zhou et al. (2025) studied this question.
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