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Record W4285592655 · doi:10.5539/elt.v15n8p23

Use, Errors, and Self-Perceptions of Thai EFL Learners with Conditional Sentences

2022· article· en· W4285592655 on OpenAlexvenueno aff
Prathomwat Suraprajit

Bibliographic record

VenueEnglish Language Teaching · 2022
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
FundersKasetsart University
KeywordsPsychologyTest (biology)Zero (linguistics)PerceptionMathematics educationLinguistics

Abstract

fetched live from OpenAlex

Conditional sentences are difficult for EFL students to understand because of their complexity in both form and function. By analyzing the performances and opinions among EFL learners, the pedagogical contribution may be beneficial for both EFL students and teachers. The use, errors, and perceptions of Thai EFL students regarding conditional sentences were explored in this study. Instruments of the study included a chapter test, writing assignments, and an online survey. Data were analyzied by means of Google Form and AntConc software. The results of the test revealed that the participants performed best on the zero conditional type, while the first conditionals were used the most in their writing. Findings of the error analysis revealed that some difficulties in the use of tense were widely occurring such as using present progressive instead of present simple tense on the if-clause for zero type. Following that, the participants believed that the second conditionals were the most difficult, while the zero conditionals were the easiest. 

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)0.000
metaresearch head score (Gemma)0.000
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 score0.025
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0250.000

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 head0.011
GPT teacher head0.279
Teacher spread0.269 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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