MétaCan
Menu
Back to cohort
Record W3107949889 · doi:10.18806/tesl.v37i2.1341

Investigating EAP Teachers’ Use and Perceptions of Gesture in General and in Corrective Feedback Episodes

2020· article· en· W3107949889 on OpenAlexvenueaboutno aff
Eva Kartchava, Abdizalon Mohamed

Bibliographic record

VenueTESL Canada Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsGestureCorrective feedbackSession (web analytics)PsychologyHumanitiesPedagogyMathematics educationLinguisticsComputer scienceArtPhilosophy

Abstract

fetched live from OpenAlex

This exploratory study examined the spontaneous use of gestures occurring in general as well as the corrective behaviour of two English for academic purposes (EAP) teachers at a Canadian university. Data were collected by way of an interview, lesson observation, and a stimulated recall session. Prior to the observation, each teacher was interviewed to identify practices (as they relate to gesture and CF) they found effective and employed regularly in their teaching. After the lesson, the teachers watched extracts from their lessons to reflect on the use of gestures in general and in CF episodes specifically, and to explain the motivations and/or reasons behind their choices. Results indicate that the EAP teachers actively used gestures, with many occurring alongside CF moves. They were also strategic in the amount and types of both CF and gesture they used. Cette étude exploratoire a examiné l’utilisation spontanée de gestes qui se produit en général ainsi que dans le cadre de comportement correctif chez deux enseignants d’anglais académique (EAP) d’une université canadienne. Des données ont été recueillies au moyen d’entrevues, d’observation de cours et d’une session de rappel stimulé. Avant de procéder à l’observation, chaque enseignant a fait l’objet d’une entrevue pour identifier les pratiques (en ce qu’elles avaient trait à la gestuelle et à la rétroaction corrective) qu’ils trouvaient utiles et employaient régulièrement quand ils enseignent. Après la leçon, les enseignants ont visionné des extraits de leur leçon afin de réfléchir à l’utilisation de gestes en général et lors de la rétroaction corrective en particulier, ainsi que pour expliquer les motivations et/ou les raisons qui sous-tendaient leurs choix. Les résultats indiquent que les enseignants d’EAP utilisaient la gestuelle de façon active, dont une grande partie se produisait en même temps que les gestes de rétroaction corrective. La quantité et le type de gestuelle et de rétroaction corrective étaient utilisés de façon stratégique.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.228
Teacher spread0.192 · 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 designObservational
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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueTESL Canada JournalSame topicEFL/ESL Teaching and LearningFrench-language works237,207