Errorless Classroom Management for Students with Severe Conduct Problems: A Staff-training Approach
Bibliographic record
Abstract
Proactive classroom management involves teacher use of a range of positive interaction and intervention strategies for managing student behaviour in the classroom. This approach to classroom management has been shown to positively influence student academic achievement, behaviour, and social-emotional well-being, as well as teacher job satisfaction, stress levels, and turnover rate. Unfortunately, teachers often receive minimal training in such strategies, leading them to use more reactive forms of classroom management as a means of controlling problematic student behaviour. Given that reactive procedures can have many unintended negative side effects, there is a need for in-service provision of additional teacher training in proactive approaches, especially in classrooms where student problem behaviours are rampant. \nThe present study was designed to address this need by examining the effectiveness of Errorless Classroom Management (ECM), a proactive classroom management program that builds student tolerance to classroom challenges by teaching them four keystone skills: compliance, social skills, on-task behaviour, and communication. We provided ECM training to two staff members (one teacher and one educational assistant) who were working in a special education classroom for students demonstrating extremely high levels of severe antisocial behaviour. The goal of this in-service training program was to alter staff membersâ classroom management practices in order to engender covariant improvements in student behaviour. \nUsing time-series observations, we examined staff and student behaviour before and after ECM training. We also investigated the social validity of treatment effects through the use of staff-report questionnaires. Data revealed that staff members effectively reduced their use of reactive strategies following training but were inconsistent in their application of proactive strategies. In turn, student problem behaviour markedly declined following training; however, improvements on other student outcome measures were not consistently observed. Moreover, variability in staff membersâ satisfaction ratings and stress scores suggest a modest overall level of social validity. These findings provide early support for the ECM training program as a socially acceptable form of intervention. These results also suggest that it is possible to effect change in student behaviour by training staff members in positive forms of classroom management.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".