An Experimental Study of Flipped Classroom to Enhance Students' Basketball Teaching Design Ability
Bibliographic record
Abstract
This study takes the teaching innovation of compulsory basketball courses as the research object in the context of teaching innovation of information technology in physical education disciplines in Chinese higher education. It adopts the method of using literature, action research and mathematical statistics. An experimental study was conducted on the application of the offline combined with online group flipped classroom teaching model in the basketball major compulsory course to explore the impact of the model on improving students' basketball instructional design ability. The experiment shows that the post-test t-test result of instructional design ability is -32.217 with a p-value of 0.000, and the experimental group is significantly better than the control group in terms of instructional design ability. It is concluded that the application of offline combined with online group flipped classroom teaching model can very significantly improve students' basketball instructional design ability. The aim is to construct a scientific and feasible teaching practice model for the teaching innovation of physical education courses, and to promote the educational quality change and teaching innovation of physical education professional courses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".