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Record W2804253645 · doi:10.5539/elt.v11n6p16

The Essential Issues of the ESP Classroom from a Reflective View

2018· article· en· W2804253645 on OpenAlexvenueno aff
Wenjie Shi

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
FundersCentral University of Finance and Economics
KeywordsPsychologyEnglish for specific purposesCoachingClass (philosophy)Mathematics educationSubject (documents)PedagogyTeaching methodDisciplineComputer scienceSociologyLibrary science

Abstract

fetched live from OpenAlex

The study looks at the three essential issues concerning the ESP classroom, the practitioners, teaching materials and testing tools, by reflecting on the publications of the ESP classroom three decades earlier and examining the current developments in China. First, in response to the demographic changes in the ESP practitioners and the inter-disciplinary feature of the ESP classroom, collaborative involvement of practitioners from language teachers, subject teachers of specific disciplines and professionals in the workplace was recommended. Second, with regards to teaching materials and methodology design in the ESP classroom, classroom activities based on learners’ needs and ways of teaching suited to prospective functions were proposed, which can be achieved by joint efforts of practitioners through in-class teaching and in-field coaching. Third, the ESP related course evaluation and student assessment at different levels were discussed, arriving at the conclusion that, beside international ESP/EAP tests, localized and specified tests that are constructed on the basis of proper balance of language knowledge and subject knowledge need to be addressed and adopted in the ESP classroom.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.265
Teacher spread0.255 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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