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Collaborative Instructors and Mixed Learners: An English for Specific Purposes Teaching Model in China

2011· article· en· W1517630379 on OpenAlexvenueno aff
Jianchang Zhang

Bibliographic record

VenueCanadian social science · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogyHumanitiesSociologyChinaPsychologyMathematics educationPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

In China, although great importance is attached to the acquisition of English language skills, problems remain, ranging from those of learners to those of instructors, particularly in the field of English for Specific Purposes. The paper analyses the current situation from the aspects of all parties involved, and proposes, based upon a learners’ needs assessment, a teaching model where instructors skilled in the teaching of the English language, and instructors skilled in specific subject matter collaborate and where students of both English and non-English majors are mixed in class. The model benefits non-English majors in terms of utility of English acquisition and English majors in terms of specialization. At the same time, the language instructors and subject matter specialists also benefit because of the cross-training that occurs. Key words : ESP teaching; Collaborative instructors; Mixed students; A teaching model Resume En Chine, bien que la grande importance est attachee a l'acquisition de competences linguistiques d’anglais, des problemes demeurent, allant de ceux des apprenants a ceux des instructeurs, en particulier dans le domaine de l'Anglais a des fins specifiques. Le document analyse la situation actuelle des aspects de toutes les parties concernees, et propose, base sur l'evaluation d'un besoins des apprenants, un modele d'enseignement ou des instructeurs qualifies dans l'enseignement de la langue anglaise, et des instructeurs qualifies dans un sujet specifique collaborer et ou les etudiants des deux majors anglais et non en anglais sont melanges dans la classe. Le modele des avantages non-anglais majors en termes d'utilite de l'acquisition de l'anglais et les majors en anglais en termes de specialisation. Dans le meme temps, les professeurs de langue et de specialistes en la matiere egalement beneficier en raison de la formation croisee qui survient. Mots cles: Enseignement d’ESP; Les instructeurs de collaboration; Les etudiants mixte; Un modele d'enseignement

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.249
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations7
Published2011
Admission routes1
Has abstractyes

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