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Record W4388008950 · doi:10.5430/jct.v12n6p78

Implementation of an Additional Course on Creative Thai Dramatic Art Skills and Appreciation of the Values of Thai Culture for Grade 7 Student Under the Secondary Educational Service Area Office Kalasin

2023· article· en· W4388008950 on OpenAlexvenueno aff
Montree Wongsaphan

Bibliographic record

VenueJournal of Curriculum and Teaching · 2023
Typearticle
Languageen
FieldComputer Science
TopicEducational Technology and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)The artsVisual arts educationPsychologyCluster samplingMathematics educationVisual artsArtSociologyDemography

Abstract

fetched live from OpenAlex

Thailand has many cultural heritages that have been inherited from the ancestors, including language, traditions, architecture, art and culture, music, as well as dramatic arts that have been evident since the Sukhothai period and have been handed down to the present. This study aimed to investigate the implementation outcomes of an additional course on creative Thai dramatic art skills and appreciation of the values of Thai culture for grade 7 students under the Secondary Educational Service Area Office Kalasin. The sample was forty-two grade 7 students of Anukoolnaree School in the first semester of the academic year 2022, selected by cluster random sampling (classroom). The research instruments were a Thai dramatic art knowledge test, an evaluation form on basic Thai dramatic art ability, an evaluation form on a creative Thai dramatic art designing ability, and an appreciation of the values of Thai culture questionnaire. The data were analyzed by mean, standard deviation, and t-test (Dependent Samples). The results showed that the post-test mean score of Thai dramatic art knowledge was higher than the pre-test mean score, the basic Thai dramatic art ability and the creative Thai dramatic art designing ability were at the highest levels, and appreciation of the values of Thai culture was significantly higher at the .05 level. Furthermore, students’ overall satisfaction with the course was at the highest level.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.015
GPT teacher head0.351
Teacher spread0.336 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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