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The Effects of Cooperative Teaching Reform on Chinese English Learners’ Linguistic Abilities and Non-linguistic Abilities

2013· article· en· W1738761383 on OpenAlexvenueno aff
Zhihong Zeng, Yin Xiao-juan, Zeng Xiao-ying

Bibliographic record

VenueHigher education of social science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsLinguistic contextContext (archaeology)LinguisticsPsychologyChinaLinguistic performanceTeaching methodMathematics educationLinguistic analysisPolitical scienceHistory

Abstract

fetched live from OpenAlex

This paper studies the different effects of co-teaching and traditional teaching on students’ English linguistic abilities and non-linguistic abilities in Chinese context. Ninety-one non-English majors in a college in south-eastern China were involved in this experiment. The results of one-way ANOVA showed that the effects of Chinese-foreign teachers’ cooperative teaching on participants’ linguistic abilities were significantly better than the traditional Chinese teachers’ teaching. The results of questionnaires revealed that co-teaching made a greater contribution to students’ non-linguistic abilities than the traditional way did. In addition, students held more positive attitudes to co-teaching than the traditional teaching. Finally, reasons that may lead to the results have been discussed.

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)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
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 head0.008
GPT teacher head0.323
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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