Values-Based Physical Education and Teacher Education in South Africa
Bibliographic record
Abstract
This qualitative research presents PE (Physical Education) teacher training workshops (TTW) which were developed and evaluated through the teachers’ feedback and reflections. Its goal was to create a PE programme enriched with the values of Olympism and Ubuntuism based on the idea that values-based education offers an investment in individual and societal improvement by implementing a values framework. Participatory action research was used to determine how data was collected, analysed, and presented on an ongoing, cyclical basis. The theoretical perspectives of the experiential learning theory and the cooperative learning theory were applied to teaching PE during the in-service physical education TTW. Ten PE teachers from five schools in the Tshwane District of South Africa participated as they best informed the research question and enhanced their understanding of the phenomenon under study. The TTW assisted in building and supporting PE pedagogical knowledge as teachers critically reflected on the diversity and inclusivity of their PE class context. An examination of the wide variety of teaching strategies, specifically used during teachable moments, that were employed throughout this study could be linked to the clarification of the values of Olympism and Ubuntuism. This research developed material for PE, which underpins the set of values of Olympism and Ubuntuism as core values that were modeled by teachers and guided their work. The TTW in a values-based PE programme builds and supports the teachers’ pedagogical knowledge to plan, deliver and access quality PE. Participatory action research and its reflective practice positively influenced the teachers' PE practice as it assisted the researchers and the participating teachers in a collective, self-reflective, inquiry.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".