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    Interpreting metacognitive knowledge and growth mindset in foreign language vocabulary learning: a latent profile analysis approach

    10.1007/s11409-026-09453-5
    2026-02-21
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    Abstract

    Abstract

    En 中文
    The present study explores the interplay between metacognitive knowledge and growth mindset in foreign language vocabulary learning among a sample of 449 Chinese university students. Using latent profile analysis (LPA), the research identifies distinct learner profiles based on three dimensions of metacognitive knowledge (person, task, strategy) and three dimensions of growth mindset (commitment belief, positive self-talk, age-sensitivity beliefs). The LPA revealed three clear profiles for each construct: strategic regulators, emerging strategists, and passive learners for metacognitive knowledge; dynamic growth, mixed growth, and fixed growth for growth mindset. Regression analyses demonstrated that growth mindset variables, particularly commitment belief and positive self-talk, strongly predicted metacognitive knowledge dimensions, while metacognitive knowledge, especially strategy use, significantly predicted growth mindset outcomes. The findings highlight the multidimensional and interdependent nature of metacognitive and growth mindset in vocabulary learning, underscoring the need for integrated interventions that foster both strategic awareness and adaptive beliefs. This research contributes to theoretical understanding and offers practical implications for designing targeted support to enhance learner autonomy in second language vocabulary learning contexts.
    Keywords:
    Metacognitive knowledge
    Growth mindset
    Vocabulary learning
    Latent profile analysis
    Journal

    Journal

    Metacognition and Learning cover
    IF:
    4.8
    Papers: 457
    Citations: 2.1K
    Researchers

    Researchers

    M
    Mark Feng Teng
    H-index:
    37
    Papers: 254
    Citations: 4.4K
    Organization

    Organization

    F
    faculty of languages and translation
    Scholars:
    2
    Papers: 3
    Citations: 0
    Cited Papers

    Cited Papers

    Citing Papers

    Citing Papers