Development of an Online Learning Management Framework for Vocational Students in Thailand in the New Normal under the COVID-19 Situation
Bibliographic record
Abstract
The objectives of this article is developing an online learning management model for vocational student in Thailand based on the New Normal lifestyle under the COVID-19 situation. The sample consisted of 400 teachers and students. The results obtained from the research found that the according to the 17 online instructional design experts who assessed the appropriateness of the online learning management framework based on the New Normal lifestyles under the COVID-19 situation for vocational students in Thailand (OLA Framework), the overall assessment results were excellent due to the conceptual framework being consistent with the objectives, processes, and sequential thinking methods. And Comparison of the mean scores of mathematics learning achievement between the experimental group and the control group had mean scores of 75.13 and 75.47, respectively. The students in both groups demonstrated no significant difference in learning achievement at the .05 level, indicating that regarding the experiment, students in the online learning group and the traditional classroom learning group demonstrated no difference in learning achievement because the teacher's learning management was consistent with the concept of online learning management in the New Normal lifestyle. The results of the assessment of satisfaction with online learning management were at the highest level because teachers organized learning system according to the conceptual framework, As a result, online learning management meets the learning objectives. The assessment of satisfaction with online learning based on the New Normal lifestyle under the COVID-19 situation among vocational students in Thailand was at the highest level overall.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".