Re-engaged students’ perceptions of mainstream and flexible learning environments – a ‘semi-quantitative’ approach
Bibliographic record
Abstract
Flexible Learning Options (FLOs) attempt to enable secondary school completion by young people for whom ‘mainstream’ schooling has not worked well. Despite their proliferation and the increased research attention to understanding the mechanisms at work within such programmes, quantitative methods have not been utilised to compare participants’ perceptions of the learning environments of FLOs and mainstream schools. This study describes the development and application of a quantitative instrument to assess re-engaged Australian students’ perceptions of an FLO relative to their previous (mainstream) schools. Findings indicate that, on average, young people rate the learning environment more highly at the FLO than at the mainstream school from which they disengaged, indicating that the learning environment of the FLO aligns more closely with the needs of its student cohort. However, bimodal results for some instrument items highlight that the learning environment is influential, but not necessarily a precondition of school disengagement or re-engagement. Implications of this study are considered, with attention to the complexities that mainstream schools and FLOs negotiate in creating effective learning environments for diverse young people.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".