MétaCan
Menu
Back to cohort
Record W2430696731 · doi:10.4236/jss.2016.46014

An Investigation of Academic Preparation 5 Students’ and Instructors’ Preference of ESL Writing Feedback

2016· article· en· W2430696731 on OpenAlexaffabout
Madelaine Campbell

Bibliographic record

VenueOpen Journal of Social Sciences · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsPreferenceMathematics educationPsychologyAcademic yearSteering committeePedagogyEngineeringMathematicsEngineering management

Abstract

fetched live from OpenAlex

The study examines AP5 students’ and instructors’ attitudes toward ESL writing feedback. The survey research took place in the English Learning Centre (ELC) at Vancouver Island University (VIU) in the Spring of 2016. VIU is a small degree granting university located in Nanaimo, on Vancouver Island. The English Learning Centre is part of the Faculty of International Education, and ESL students come here to study pre-academic English language skills in order to become ready for their university courses. There are approximately 200 students enrolled in our ELC. The survey results showed an equal preference for typed and handwritten feedback, with female students preferring hand written, and other forms of feedback while male students prefer typed feedback. The instructors surveyed prefer giving feedback orally.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.166
GPT teacher head0.393
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueOpen Journal of Social SciencesSame topicEFL/ESL Teaching and LearningFrench-language works237,207