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Record W2298442292 · doi:10.5539/hes.v6n2p19

Developing Research Paper Writing Programs for EFL/ESL Undergraduate Students Using Process Genre Approach

2016· article· en· W2298442292 on OpenAlexvenueno aff
Kim Thanh Tuyen, Shuki Osman, Thai Cong Dan, Nor Shafrin Ahmad

Bibliographic record

VenueHigher Education Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPostponementProcess (computing)CurriculumComputer scienceDelphi methodMathematics educationEnglish for specific purposesPedagogyPsychologyEngineering

Abstract

fetched live from OpenAlex

<p>Research Paper Writing (RPW) plays a key role in completingall research work. Poor writing could lead to the postponement of publications. Therefore, it is necessary todevelop a program of (RPW) to improve RPW ability for EFL/ESL writers, especially for undergraduate students in Higher Education (HE) institutions, which has caught less attention of curriculum developers so far. Therefore, this studyaims to determine the core components of (RPW) program perceived as essential for EFL/ESL undergraduate studentsusing Process Genre Approach (PGA) to develop a program of RPW. The Delphi Technique (DT) was used to validate those components through the interviews of experts including two boards of ten experienced and qualified lecturers of TESOL and curriculum studies in Can Tho University (CTU) in Vietnam and UniversitiSains Malaysia (USM). The results revealed that the corecomponents of RPW programfor EFL/ESL undergraduate students were determined and confirmed. This paper is therefore believed to make a great contribution to practical applications for RPW program developers, lecturers, undergraduate and postgraduate students in EFL/ESL contexts.</p>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.680
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.451
GPT teacher head0.504
Teacher spread0.053 · 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 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

Citations11
Published2016
Admission routes1
Has abstractyes

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