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Record W7018934756

Errorless Classroom Management for Students with Severe Conduct Problems: A Staff-training Approach

2013· dissertation· en· W7018934756 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2013
Typedissertation
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClassroom managementIntervention (counseling)Behavior managementStress managementUnintended consequencesTraining (meteorology)Time managementProfessional development
DOInot available

Abstract

fetched live from OpenAlex

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 members’ 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 members’ 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.053
GPT teacher head0.252
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicBehavioral and Psychological StudiesFrench-language works237,207