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Record W3159312166 · doi:10.18806/tesl.v37i3.1346

Increasing Students’ Willingness to Communicate: Drama-Based Approaches to Language Instruction in English for Academic Purposes Classes

2020· article· en· W3159312166 on OpenAlexvenueno aff
Kent Lee, Marilyn L. Abbott, Ning Chen

Bibliographic record

VenueTESL Canada Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsWillingness to communicateAffect (linguistics)DramaPsychologyContext (archaeology)PedagogyNegotiationNature versus nurtureSociologySocial psychologyCommunicationArtLiterature

Abstract

fetched live from OpenAlex

A strong willingness to communicate (WTC) in a second language is associated with successful language learning. ESL learners with high levels of WTC will seek opportunities to interact in meaningful communication in English. Engagement in meaningful communication is necessary for language learning as it increases access to comprehensible input, promotes negotiation of meaning, and pushes the learner to produce accurate output. By enhancing instructors’ understanding of factors that impact students’ WTC (e.g., confidence, affect, motivation, and the context of communication), instructors may be better prepared to nurture their students’ WTC and expedite their English language acquisition. Because drama-based approaches (DBAs) for teaching English have been found to cultivate a safe learning environment and increase learners’ confidence, positive affect, and motivation, these approaches also have considerable potential to improve learners’ WTC. Although DBAs may be underutilized in English for academic purposes programs, they are particularly beneficial for students who are hesitant to participate in communicative classroom activities. We review literature on WTC and DBAs, and then incorporate key findings from the literature to guide the development of dramatized role-plays that can foster students’ WTC and lead to improvements in students’ linguistic and general academic skills. Une forte volonté de communiquer (VDC) dans une seconde langue est associée à un apprentissage réussi de la langue. Les apprenants d’ALS qui montrent de hauts niveaux de VDC vont rechercher des occasions d’interagir dans des communications utiles en anglais. L’implication dans une communication utile est nécessaire pour l’apprentissage des langues puisqu’elle augmente l’accès à un apport compréhensible, favorise la négociation du sens et pousse l’apprenant à fournir une production précise. En augmentant la compréhension des facteurs qui influencent la VDC des étudiants (par ex. la confiance, l’affect, la motivation et le contexte de la communication) chez les instructeurs, ceux-ci peuvent être mieux préparés pour entretenir la VDC de leurs étudiants et accélérer l’acquisition de l’anglais. On a trouvé que les approches basées sur le théâtre pour l’apprentissage de l’anglais étaient propices à l’entretien d’un environnement d’apprentissage sécurisant et augmentaient la confiance des apprenants, leur affect positif, ainsi que leur motivation et qu’elles présentent un potentiel considérable pour améliorer la VDC des apprenants. Bien que ces approches ne soient pas beaucoup utilisées dans les programmes de cours d’anglais académique, elles sont particulièrement bénéfiques chez les étudiants qui hésitent à participer aux activités de communication en classe. Nous examinons la recherche et l’approche basée sur le théâtre et incorporons les résultats-clés de la recherche pour guider le développement de jeux de rôles mis en scène qui peuvent favoriser la VDC et améliorer les compétences linguistiques et universitaires des étudiants.

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)0.001
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: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.131
GPT teacher head0.280
Teacher spread0.150 · 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

Citations14
Published2020
Admission routes1
Has abstractyes

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