Increasing Learning Results Of Bolavoly Low Passing Using Hanging Ball Media In Class IV Students Of Waikoro State Elementary School
Bibliographic record
Abstract
This research is motivated by the use of instructional media that is not in accordance with the characteristics of students which causes students to be uninterested and less active during the learning process so that student learning outcomes decline. This study aims to determine the improvement of the process of learning under passing by using a hanging ball media on the fourthgrade students of the SD Negeri Waikoro. This research is a Classroom Action Research (CAR) which consists of two cycles, in each cycle there are four stages, namely planning, implementation, observation and reflection. The subjects of this study were 15 class IV students of Waikoro Public Elementary School consisting of 15 students consisting of 11 male students and 4 female students. The physical condition of students is physically and mentally healthy. The results showed that by using hanging ball media can improve the results of learning under passing in class IV SD Negeri Waikoro, in cycle I and cycle II, the results of learning to pass under the first cycle, the average value obtained was 70.55 with completeness classical 33.33%. In cycle II the average value of students increased to 81.11 with classical completeness reaching 93.33%
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".