Singapore teachers’ attitudes towards the use of information and communication technologies in physical education
Bibliographic record
Abstract
The purpose of the present study was to examine and compare Singaporean physical education teachers’ attitudes towards information and communication technologies in physical education across different demographic groups that included gender, age, teaching experience, and school level. A total of 422 Singaporean full-time physical education teachers (mean age = 38.47 years, standard deviation = 8.31) completed the Physical Education Teachers’ Subjective Theories Questionnaire to assess their perspectives towards the integration of information and communication technologies into physical education teaching practice. Mann–Whitney U and Kruskal–Wallis H tests were conducted to examine the differences in participants’ attitudes across different demographic groups. Results revealed that attitudes towards information and communication technologies significantly differed between teachers of different gender, age, and teaching experience. However, no significant difference was found in attitudes towards information and communication technologies among teachers of different school levels. The findings of this study can inform policy-makers and stakeholders with an interest in promoting the integration of information and communication technologies in physical education.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".