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Record W4408007519 · doi:10.5539/elt.v18n3p53

An Experimental Study of the Effects of Production-oriented Approach and Task-based Language Teaching on Senior High School Students’ English Writing

2025· article· en· W4408007519 on OpenAlexvenueno aff
Qi Husier, Baiyinna Wu

Bibliographic record

VenueEnglish Language Teaching · 2025
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationTask (project management)Teaching methodLanguage educationPedagogyLinguistics

Abstract

fetched live from OpenAlex

Based on theoretical foundation of Production-oriented Approach (POA) and Task-based Language Teaching (TBLT), a nine-week quasi-experimental study was conducted to explore the effects of POA and TBLT on senior high school students’ English writing. Two parallel classes of grade two in a senior high school in Hohhot, Inner Mongolia Autonomous Region were chosen as experimental classes, which were randomly assigned to either POA group or TBLT group. Combining standardized writing tests, validated questionnaires with semi-structured interviews, it aims at addressing the following two research questions: (1) What are the effects of POA and TBLT on complexity, accuracy and fluency of senior high school students’ English writing? (2) What are the effects of POA and TBLT on the senior high school students’ critical thinking skills? The research results showed that: (1) There existed significant difference of writing scores between POA group and TBLT group. Compared with TBLT, the application of POA was more contributed to improving complexity and accuracy of English writing of senior high school students. (2) There was no significant difference between two groups in the mean scores of overall critical thinking skills. But it existed significant difference in the dimension of analysis between POA group and TBLT group. Finally, according to the findings of the research, some suggestions for improving efficiency of English writing teaching are put forward for high school English teachers and the limitations of the study and suggestions for the future research are 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)0.003
metaresearch head score (Gemma)0.004
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 score0.121
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 science0.0010.000
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 head0.312
Teacher spread0.306 · 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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