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Record W4407137511 · doi:10.5539/elt.v18n3p1

The Value, Challenges and Path of Integrating Chinese Culture into Higher Foreign Language Teaching from the Perspective of Students

2025· article· en· W4407137511 on OpenAlexvenueno aff
Fengxian Chen, Jiaxue Cheng, Xiaotong Huang

Bibliographic record

VenueEnglish Language Teaching · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEducational Reforms and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)PsychologyValue (mathematics)Path analysis (statistics)Mathematics educationForeign language teachingForeign languagePath (computing)PedagogyLinguistics

Abstract

fetched live from OpenAlex

This study focuses on students from Guangzhou City University of Technology and investigates their views on the value and challenges of integrating Chinese culture into higher foreign language teaching, as well as their preferred pathways for this integration through a questionnaire survey. The findings are as follows: 1. Students have a positive attitude and willingness to introduce Chinese culture in English, but their abilities need enhancement; 2. Over half of the students face issues such as superficial understanding and low learning motivation, with challenges arising from the disconnect between foreign languages and local contexts in teaching; 3. Students prefer pathways such as storytelling in class, increasing traditional cultural content, and engaging in extracurricular cultural practices. To achieve effective integration, it is essential to tackle these issues comprehensively by focusing on student development and improving teaching, thereby enhancing the positive role of Chinese culture in higher foreign language teaching.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.290
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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