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Record W3088902885 · doi:10.5430/ijhe.v10n1p24

An Investigation into Factors Affecting the Use of English Prepositions by Vietnamese Learners of English

2020· article· en· W3088902885 on OpenAlexvenueno aff
Tran Tin Nghi, Nguyễn Tất Thắng, Trần Hữu Phúc

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseSentencePsychologyMathematics educationCompetence (human resources)PopulationLinguisticsComputer scienceNatural language processingMedicineSocial psychology

Abstract

fetched live from OpenAlex

English prepositions play a significant role in helping students form a well-structured sentence in their learning and communicating. To help Vietnamese learners of English acquire their competence, the authors have done survey research to investigate the factors affecting the uses of English prepositions made by Vietnamese learners of English. The population included 200 female and 200 male participants. A total of 400 answers on the questions provided in the 100-question questionnaire were used for hypothesis testing. The items in the survey were given different weights, and the total attainable marks were 100. The results showed that Vietnamese intra-lingual interference strongly affected prepositional sense expressed by Vietnamese EFL learners. Genders, level of learning (low, intermediate, and advanced), writing and speaking, and cognitive embodiment also played a significant role in terms of language transfer, affecting the usage of English prepositions by EFL learners.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.299
Teacher spread0.254 · 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 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

Citations9
Published2020
Admission routes1
Has abstractyes

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