Teaching and learning chinese as a heritage language (CHL)
Bibliographic record
Abstract
Research on Chinese heritage language (CHL) education has flourished in recent decades, driven by the increasing presence of CHL learners in schools worldwide, especially in multiethnic and multilingual contexts such as the USA, Canada, and Australia. This article presents the findings of a systematic review of 53 empirical studies on CHL education indexed in the Social Science Citation Index (SSCI) and published from 2008 to 2023. The study reveals that CHL research primarily focuses on four core areas: CHL maintenance, CHL acquisition, CHL pedagogy, and CHL learners’ identity. The research methodologies within the existing literature show a predominance of quantitative studies, particularly laboratory-based research on CHL acquisition, and the results highlight the critical role of the home environment in supporting CHL maintenance. This review concludes with recommendations for advancing future research on and pedagogy practices of CHL. Specifically, CHL education needs to incorporate sociolinguistically-informed pedagogical approaches and materials and implement valid assessment tools to address the diverse needs and interests of CHL learners. Future research should further investigate how CHL learners’ ethnic identities are shaped by and interact with gender, socio-economic status, and dialect backgrounds, while assessing tailored interventions and engaging in classroom-based action research to enhance pedagogy and longterm language transmission across generations
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".