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Record W2727138975 · doi:10.3968/9674

A Study on the Roles of Teachers in CLT Classrooms by Metaphor Analysis

2017· article· en· W2727138975 on OpenAlexvenueno aff
Huang Qiang

Bibliographic record

VenueCanadian social science · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphorPsychologyMathematics educationClass (philosophy)Communicative language teachingPerceptionCognitionPedagogyLanguage educationLinguisticsComputer science

Abstract

fetched live from OpenAlex

Communicative Language Teaching (CLT) approach has been a well-recognized language pedagogy for decades in the world. While most of the research of CLT approach focuses on the nature of teaching and learning, teacher roles in CLT approach are less discussed and examined in the literature. The present study thus intends to look into the roles of teachers in a communicative English course through questionnaires. The questionnaires were distributed to a group of 103 university students who had learnt a communicative English course at the university for at least one year. Students were required to use metaphors to indicate how they perceived their English teachers in the CLT course by completing the stem “While learning the communicative English course, the English teacher of the course is (like) ________ because ___________.” After data were collected and later coded, categorized and analyzed, results showed that the roles of teachers in the communicative English course mainly fell into four groups: the cognitive category of providing knowledge, the affective category of interesting students with authentic learning materials and interactive learning activities, the managerial category of assisting, guiding, monitoring the learning processes as well as designing learning activities for the class, and finally the fourth group of mainly negative perceptions. The researcher holds that the role of providing and transmitting knowledge is a constituent part of the teacher role of CLT approach. Furthermore, the affective category and the managerial category unveil more inherent traits of CLT teacher roles and characterize more intrinsic features of CLT approach.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.297
Teacher spread0.245 · 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.

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

Citations6
Published2017
Admission routes1
Has abstractyes

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