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Record W3213840687 · doi:10.5430/jct.v10n4p55

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

2021· article· en· W3213840687 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Curriculum and Teaching · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsStatisticPsychologyMathematics educationAnalysis of covarianceSample (material)Stratified samplingPhysical educationMedical educationStatisticsMathematicsMedicine

Abstract

fetched live from OpenAlex

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

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.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.189
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
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 head0.025
GPT teacher head0.399
Teacher spread0.374 · 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