Teachers’ attitudes in classroom management as perceived by pupils with social, emotional and behavioural difficulties
Bibliographic record
Abstract
Studies have extensively presented a range of best practices for teachers to develop adequate classroom management skills. Yet, to date the connected attitudes that teachers would require to capably execute classroom management have received scarce attention in scientific literature. Accordingly, this article documents teachers’ classroom management attitudes (TCMA) from the perspective of pupils presenting with social, emotional and behavioural difficulties (SEBD). Individual interviews were conducted with fourteen SEBD pupils attending secondary-school special education programmes. Using thematic analysis, emergent themes were then identified and categorised, resulting in seventeen teacher attitudes which then fell into four overarching dimensions: 1) Respect; 2) Authority; 3) Supportiveness; and 4) Differentiation. The connection between the teacher attitudes, as voiced by the pupils, and the pupils’ perception of their teachers’ classroom management skill and proficiency is described at length. In light of these findings, avenues for better classroom intervention outcomes and for further research have been proposed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".