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Record W3036976413 · doi:10.5281/zenodo.3952307

The Main Reason that Thailand's High School Students are Not Adapting in the English Language

2020· article· en· W3036976413 on OpenAlexaff
Naphatsara Tanmongkol, Ratnatcha Moonpim, Sirada Vimonvattaravetee

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsVocabularyMathematics educationSet (abstract data type)Variety (cybernetics)PsychologyEnglish languageComputer scienceLinguisticsArtificial intelligence

Abstract

fetched live from OpenAlex

A large majority of high school students in Thailand have obstacles with the utilization of the English language; however, they have set their goal to be good at English. More than that, many students are intending and wanting to be even more successful in English. The objectives research regarding of a study of the main reasons why high school students in Thailand do not specialize in English were: (1) finding reasons they are not adapted and be good at English, (2) searching the reason why Thailand’s children defected of learning English languages, (3) providing plausible and reasonable solutions for students. The instrument used in this study was a questionnaire survey of 130 high school students from the various schools which information has been collected by using statistical analysis in terms of turning to be the percentage. Following, each of percentage values has been arranged into categories before finding the best solutions to assist the high school students. It follows that responses from Thai high school students who think they are average and below average are 55.4% and 23% respectively. As well as skills, Speaking is the weakest skill which has a variety of causes which half of responses are inexperienced; furthermore, the other answers such as being too afraid of speaking and unknowing vocabulary are factors which make inefficient improvement in speaking skill. Consequently, 49.2 percent of students think complexity of grammatical range and accuracy is difficult.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.999

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 studies0.0030.000
Scholarly communication0.0030.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.240
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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