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Record W2058203403 · doi:10.5539/ass.v4n4p81

Application of Communicative Approach in College English Teaching

2009· article· en· W2058203403 on OpenAlexvenueno aff
Guochen Jin

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsCommunicative language teachingCommunicative competenceForeign languageForeign language teachingPsychologyLanguage educationComputer scienceLinguisticsPedagogy

Abstract

fetched live from OpenAlex

The main purpose of foreign language teaching is to communicate with language. Meanwhile, Communicative Approach is the effective way to achieve this goal. Through out more than twenty years, Communicative Approach has been confirmed and spread widely. Communicative Approach is the innovation of the foreign language teaching. Not only does it improve students’ communicative competence effectively, but also carries out the quality education in foreign language teaching. This thesis will take a look at the Communicative Approach to the teaching of foreign languages. It is intended as an introduction to the Communicative Approach for the teachers and teachers-in-training who want to provide opportunities in the classroom for their students to engage in real-life communication in the target language. This thesis starts with the emergence, definition and features of Communicative Approach. It helps us understand CA continually. It also makes us aware of the obvious differences between Communicative Approach and other ways of language teaching. How to apply Communicative Approach to the teaching of foreign languages is mainly talked about. At last, three important pairs of connections in Communicative Approach are provided and the future of the Communicative Approach in foreign language teaching is described.

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: none
Teacher disagreement score0.968
Threshold uncertainty score0.677

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 studies0.0010.001
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 head0.023
GPT teacher head0.282
Teacher spread0.259 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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