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Record W4399028594 · doi:10.5430/wje.v14n2p45

The Impact of Native Language on Mandarin Acquisition: A Study of Zhuang and Miao Students

2024· article· en· W4399028594 on OpenAlexvenueno aff
Shiran Wang, Saifon Songsiengchai, Kanon Somrang, Nadda Angsuwotai, Panjanat Vorawattanachai

Bibliographic record

VenueWorld Journal of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsMandarin ChinesePsychologyMathematics educationLinguisticsPedagogy

Abstract

fetched live from OpenAlex

This study was conducted with Zhuang and Miao students and Mandarin teachers in grades four to six in four township elementary schools in Dehou Township, Wenshan City, Yunnan Province. The purposes of this study were:1) to study the influences of the native language that affect Zhuang and Miao students when they learn Mandarin,2) to study teachers’ opinions about their students' native language affects their learning when teaching Mandarin to Zhuang and Miao students. Based on Krejcie and Morgan's table, 186 students for questionnaires and 14 teachers were selected for interviews. The study is a mixed method of quantitative and qualitative research, which was statistically analyzed using percentages, means (⎯χ), standard deviation (S.D.), and narrative analysis by coding the interview information. The research instruments were questionnaires and semi-structured interviews. The results revealed that 1) the influences of the native language that affect Zhuang and Miao students when they learn Mandarin consisted of four aspects: (1) social context, (2) learner characteristics, (3) learning conditions, and (4) learning process: Social Context was high level (⎯χ) =2.70 and S.D=0.36; Learner Characteristics was moderate level (⎯χ) =2.43 and S.D=0.35; Learning Conditions was moderate level (⎯χ) =2.46 and S.D=0.2936; Learning Process was high level (⎯χ) =2.51 and S.D=0.30. All four aspects had a high level (⎯χ) =2.52 and S.D=0.33; on Zhuang and Miao students' Mandarin learning, and 2) teachers’ opinions about their students' native language affect their learning when teaching Mandarin to Zhuang and Miao students. It showed that Zhuang and Miao’s students had difficulty pronouncing Mandarin when they learned it because of the influence of their language; the difference between Mandarin and the expression habits of the ethnic language also affects the learning of Mandarin by Zhuang and Miao students. This study suggests that the study should emphasize the creation of a Mandarin language environment for Zhuang and Miao students, enhance students' interest in learning Mandarin, improve the conditions for learning Mandarin, and innovate teaching methods.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.184

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.016
GPT teacher head0.432
Teacher spread0.416 · 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
Published2024
Admission routes1
Has abstractyes

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