The Development of a Physical Education Teaching Model in the Covid - 19 Situation Based on the Concept of Active Learning with Digital Technology Media of Students in the Field of Physical Education and Health, Faculty of Education Thailand National Sports University Chon Buri Campus
Why this work is in the frame
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Bibliographic record
Abstract
The objectives of this research were: 1. to develop a teaching model of physical education after the COVID-19 situation based on the concept of proactive learning in combination with digital technology media; 2. to compare the students' proactive learning behavior with digital technology media between the experimental group and the control group 3. Assess the students' higher thinking between the experimental group and the control group 4. Assess the satisfaction of students who manage learning by using a proactive learning management model and digital technology media. Affecting the effect of using the model the sample group used in the interview research there were 5 professors of the Faculty of Education and 15 students. The sample group that used the model to teach students was 30 students, divided into an experimental group of 15, and students trained by students of 300 people, a control group of 15 and students who were trained. 300 teaching students by random sampling. Tools include Document analysis record form interview questions Questionnaire on learning management conditions Program to develop faculty members to measure readiness in learning management Learning Behavior Assessment and Learning Satisfaction Questionnaire Qualitative data were analyzed by content analysis. Quantitative data analysis using basic statistics such as percentage, mean, standard deviation variance the differences between the mean were compared using the covariance analysis (ANCOVA) t-test statistic and the efficiency was analyzed. Process/efficiency of results. The results showed that 1. Physical education teaching style in the situation of COVID-19 Based on the concept of proactive learning with digital technology media there are 6 steps in learning management (PODARE). 2. Comparison of proactive learning behavior with digital technology media the experimental group was significantly higher than the control group at the .01 level. 3. The results of the assessment of advanced thinking of the experimental group of students who received learning management according to the proactive learning management model with digital technology media. Have a good high thinking score. Accounted for 43.83% 4. The results of the satisfaction assessment of the students who participated in the development of the model were of the opinion that the model made the students more clear and clear about proactive learning management with digital technology media. When students change the way they organize learning and activities in the classroom change, students change their learning behavior. Make students have more participation behavior in class
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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 | 0.004 | 0.002 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it