Guidelines for Organizing STEM Education Through Mudmee Culture to Promote Career Skills for Students in The Ban Mi District Area Lopburi Province
Bibliographic record
Abstract
This research aims to: 1) explore the cultural knowledge of handwoven silk in Ban Mi District, Lopburi Province; 2) design a STEM-based learning approach integrated with the cultural knowledge of handwoven silk to promote career skills for students in Ban Mi District, Lopburi Province; and 3) investigate the outcomes of implementing the STEM-based learning approach integrated with the cultural knowledge of handwoven silk to promote career skills for students in Ban Mi District, Lopburi Province. This study employs an action research methodology. The research sample consists of: (1) a group of 10 local wisdom keepers from Ban Mi District, Lopburi Province who provided information about the cultural knowledge of handwoven silk; (2) a group of 5 experts, including faculty members, science teachers, and science education experts, who evaluated the learning activities; and (3) a group of 90 students from Ban Mi District, Lopburi Province who participated in the experimental learning activities, selected through purposive sampling. In total, 105 individuals were involved in this study. The research findings indicate 1) To investigate the cultural knowledge surrounding mudmee (ikat) weaving in Ban Mi District, Lopburi Province, this study found that mudmee is a local product that the descendants of the Thai Phuan people have inherited from their ancestors. This practice involves the application of local wisdom to create beautifully patterned fabrics that are characteristic of Thai Phuan culture. The tradition of mudmee weaving among the Thai Phuan people has a long and rich history. 2) Designing a STEM-based learning approach through the culture of mudmee weaving to promote career skills for students in Ban Mi District, Lopburi Province. The researchers found that they have developed a STEM-based learning approach through the culture of mudmee weaving to promote career skills for students in Ban Mi District, Lopburi Province, called the STEM+CV model, which consists of 1) Science related to culture leads to the creation of career skills 2) Technology related to culture leads to the creation of career skills 3) Engineering related to culture leads to the creation of career skills 4) Mathematic related to culture leads to the creation of career skills Furthermore, the overall assessment of appropriateness was rated as the highest level. 3) A study on the effectiveness of a STEM-based learning approach integrated with the local Ikat weaving culture to promote career skills among students in Ban Mi District, Lopburi Province found that this approach was successful in enhancing students' career skills.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".