Exploring the use of Social Media in Secondary Physical Education: the #Active 365 challenge
Bibliographic record
Abstract
The purpose of this study was to explore the experiences of two Alberta secondary physical education teachers’ use of the #Active365 challenge, a researcher developed and piloted, social media-based and mobile device-facilitated, online challenge that aimed to embrace technology and more comprehensively achieve active lifestyle physical education curricular outcomes. This research was framed with a social constructionist epistemology where knowledge is co-created and specific to context, and due to the remote nature of the study, methodology involved a pragmatic approach to a multiple case study. Data was primarily gathered from individual semi-structured interviews following participant use of #Active 365 for one semester. Findings showed that teacher experiences were unique within their respective contexts and dependent upon teacher direction, student uptake, and grade level. This research offers insight to those considering engaging students in physical activity-focused physical education curricular outcomes through social media.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".