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Record W4200269121 · doi:10.5539/elt.v15n1p164

A Study on English Collocation Errors of Thai EFL Students

2021· article· en· W4200269121 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language Teaching · 2021
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsCollocation (remote sensing)VocabularyMathematics educationPsychologyLanguage proficiencyTest (biology)Competence (human resources)Academic yearBachelorForeign languageLinguisticsComputer science

Abstract

fetched live from OpenAlex

Collocation is an often-neglected language form that foreign language teachers and students should focus on to achieve competence in a target language. In this research, the researchers studied purposely to facilitate both second language teachers and students to produce correct and appropriate collocations. The purposes of this research were 1) to study the collocation error levels of Bachelor of Arts English and Business English students studying at Northern Rajabhat University, 2) to study the relationship between first language (L1) and second language (L2) transfer collocation errors in students’ writing, and 3) to compare the collocation errors between high-proficiency students, medium- proficiency students and low-proficiency students. The research sample included 285 Thai EFL students enrolled in second-year English and Business English programs at Northern Rajabhat University during the first semester of the academic year 2021. The research instrument was a collocation proficiency test with 54 questions, which was divided into 2 sections: 1) 36 questions with 4 multiple-choice tests, and 2) 18 Thai to English translation questions. The items were chosen from the Oxford 3000™, and were common vocabulary appearing in various contexts. Research data were analyzed using mean, standard deviation, t-test (Dependent), and Friedman test. The research found that 1) the level of Grammatical Collocation errors of high-proficiency EFL students was at a moderate level, medium-proficiency and low-proficiency EFL students were at a high level, and for Lexical Collocation errors, all three groups of students were at a high level; 2) the EFL students’collocation errors were caused by the language transfer from their first language (L1) to their second language (L2), synonyms, and lack of collocation competency; and 3) the most Lexical Collocation errors found in all student groups were Adverb + Adjective. For Grammatical Collocation, all groups could use Verb + Preposition better than Noun + Preposition, and the high proficiency and medium proficiency students could perform Adjective + Preposition the least, whilst the low proficiency students were better at Adjective + Preposition.  

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.065
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.018
GPT teacher head0.355
Teacher spread0.337 · 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