Relations of Interests, Intelligence and Student Learning Outcomes in the Subject of Athletic in Faculty of Sport Science, Universitas Negeri Padang
Bibliographic record
Abstract
This study aims to determine the level of learning and intelligence enthusiasm relationship with the student learning outcomes and coordination of athletic training. This research is ex post facto, with the second-year student majoring in education courses S1 2013/2014, and the sample size of 62 people. Data were analyzed using multiple regression. The analysis showed that; (1) there is a significant relationship between interest in learning with the learning outcomes of athletic coordination exercises, p = 0.000 & lt; of 0.05, (2) there is a significant relationship between intelligence student learning outcomes athletic smooth coordination exercises, p = 0, 02 & lt; 0,05, (3) there is a significant relationship between the collective intelligence of students' interest in learning and learning outcomes of athletic coordination exercises, p -= 0.00 & lt; of 0.05.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".