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Record W4403899159 · doi:10.5539/jel.v14n2p101

Strategy for Inserting Thai Culture into Teaching and Learning Management of Teachers and the Perception on Thai Culture among Korean Students Studying Thai as a Foreign Language in Universities in Republic of Korea

2024· article· en· W4403899159 on OpenAlexvenueno aff
Boonrawd Chotivachira

Bibliographic record

VenueJournal of Education and Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
FundersKorea Foundation for Advanced StudiesChulalongkorn University
KeywordsPsychologyPerceptionMathematics educationForeign languagePedagogyAsian cultureTarget cultureChinese cultureEnglish as a foreign languageTeaching methodSociologyChinaPolitical science

Abstract

fetched live from OpenAlex

This research utilized the combination between quantitative and qualitative researches. The research sample included Thai language course lecturers both Thai and South Korean persons, including 1st-4th year South Korean undergraduate students. The instruments used included the questionnaire on teaching strategy which also included Thai culture to be used in providing instruction on Thai language for South Korean students. The forms of tests assessing the perception on Thai culture of South Korean students. Two interview forms to interview the teachers and South Korean students on their perception and acquisition of Thai culture. The findings reveal the teacher’s opinion on strategy to integrate Thai culture with the instruction on teaching Thai language to South Korean students studying Thai as a foreign language in aspects of integrating Thai language along Thai culture and instructional strategy integrated with Thai culture. The overall outcome reveals that the sample subjects agree mostly with such statement. Concerning the result of the perception on Thai culture of South Korean students, it was found that 14.29% of students had obtained the score at very good level, 70% at good level, 14.29% at moderate level, and 1.43% at minimal level. The average level was of 73.5 scores.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.496

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.366
Teacher spread0.348 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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