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Record W3021419487 · doi:10.5539/elt.v13n5p139

Interdisciplinary Teacher Collaboration in English for Specific Purposes Subjects in a Thai University

2020· article· en· W3021419487 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language Teaching · 2020
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsFacilitatorPsychologySupporterSubject (documents)Mathematics educationTeaching methodPedagogyClass (philosophy)EnthusiasmMedical education

Abstract

fetched live from OpenAlex

The purpose of this research study was to investigate the roles of English teachers and subject teachers engaged in the collaborative process of interdisciplinary teaching in English for Specific Purposes subjects at a Thai university and explore the benefits and drawbacks of implementing such collaborations. In addition, students’ attitudes towards interdisciplinary teacher collaboration (ITC) in ESP classrooms were explored. Participants were English teachers, subject teachers, and students studying on ESP subjects. This research study used a mixed methods approach from four sources of data. The findings revealed the extensive roles taken on by both teachers involved in the ITCs. Roles for the English teacher involved being a lesson planner, teacher, learning organizer, and class activities designer. The subject teacher’s role was identified as a consultant or informant, supporter, monitor, and facilitator. The benefits were that an English teacher gained confidence, reduced worry in teaching ESP subjects, and received instant feedback from the subject teacher. The drawbacks were that it was challenging to balance the different schedules of both teachers and that lesson planning was time consuming. Students showed positive attitudes towards this method of teaching. They liked to study because of the enjoyable and knowledgeable activities and the teacher’s confidence.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.027
GPT teacher head0.351
Teacher spread0.324 · 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