A Modified Delphi Research Study on Fundamental Movement Skill Complexity for Teaching and Learning Physical Literacy
Bibliographic record
Abstract
Purpose: To establish a consensus on the complexity of 16 fundamental movement skills (FMS). Initially, complexity was defined as how difficult it would be to teach FMS to children and for the children to learn them. Method: The study was conducted using a modified Delphi method and a mobile application called Move Improve® to showcase video demonstrations of 16 FMS. Six experts discussed and rated the complexity of each FMS using a 5-point Likert scale until a 75% consensus was obtained during three rounds. Result: Dribble was rated as the most complex (average five) and run as the least (average one). The highest percentage of consensus at 100% was obtained for dribble, overhead throw, run, and skip during Round 3. Conclusion: Eye–hand or eye–foot coordination, laterality, and the environment were deemed as the most influential factors when rating the complexity of FMS.
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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 | 0.065 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".