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Record W2123633354 · doi:10.5539/elt.v4n2p73

Exploring Students’ Perceptions of ESL Writing

2011· article· en· W2123633354 on OpenAlexvenueno aff
Sadiq Abdulwahed Ahmed Ismail

Bibliographic record

VenueEnglish Language Teaching · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyFocus groupPerceptionMathematics educationQualitative researchQualitative propertyAcademic writingSecond language writingWriting assessmentData collectionPedagogyEnglish for academic purposesProfessional writingMedical educationSecond languageLinguisticsComputer science

Abstract

fetched live from OpenAlex

Writing has always been regarded as playing a prominent role in learning a second language. Research within this discipline has mainly focused on the development of writing skill, but in recent years, some researchers have examined students’ perceptions of writing. The purpose of this study was to investigate students’ perceptions about an academic writing course and writing in general. A total of 64 female students from an ESP program participated in the study. The general design of the study was quantitative and qualitative in nature as a questionnaire and a focus-group interview were implemented for data collection. A combination of quantitative and qualitative procedures was employed to analyze the data collected via the questionnaire and the focus group interview respectively. The overall results demonstrated the students’ positive views towards the Academic Writing Course (AWC) in particular and ESL writing in general. The major findings demonstrated students’ awareness of their needs and ESL writing requirements. The study concluded with recommendations for future research.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
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 head0.109
GPT teacher head0.282
Teacher spread0.173 · 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 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

Citations89
Published2011
Admission routes1
Has abstractyes

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