What is important? How one early childhood teacher prioritised meaningful experiences for children in physical education
Bibliographic record
Abstract
Attention to the meaningfulness of children’s physical education experiences can promote rich, life-enhancing engagement with movement. While there has been recent interest in prioritising meaningfulness in physical education, this is not matched by vivid descriptions or empirical evidence of how to teach for meaningfulness, particularly in early childhood settings. Adopting a single exploratory qualitative case study design, the purpose of this research was to share how one teacher (Zack) prioritised meaningfulness in one unit of physical education with children aged 3-4 years. Data sources included lesson plans (n = 6), teacher reflections (n = 8), teacher narrative (n = 1), teacher artifacts (including Tweets and photographs (n = 95)) and student interviews (n = 4). Inductive analysis (Thomas, 2006) lead to the identification of pedagogies that were used to prioritise meaningfulness, several of which are representative of Zack’s pedagogical approach. Specifically, stories provided a pedagogical frame for children to move with purpose. Zack scaffolded activities upon the stories to help children make choices and decisions about their participation and provided them with a language to reflect on those experiences. These findings exemplify what a pedagogy of meaningfulness might include in early childhood settings and provides important direction for future implementation.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".