The Practice of Excluding Students from Large-scale Assessments: Interviews with Principals
Bibliographic record
Abstract
Given the shortage of literature examining exclusion rate practices in Canada, this study reported on exclusion rate practices from principals' perspectives. Specifically, factors influencing principals’ decision-making regarding excluding students from large-scale assessments (LSAs) were explored. We inquired about factors and implications of social promotion as well as decision-making based on compassion, particularly in relation to students who were working below grade level. Using a qualitative research design, we conducted interviews with eight school principals and one vice-principal. Findings revealed an absence of clarity and governance in LSAs that likely influenced differences in principals’ decision-making. Some principals would automatically exclude students who had an Individualized Education Plan, while others would review student files to determine which students to exclude. There was also a discrepancy surrounding which educational supports were permitted on the LSAs. Keywords: Large-scale Assessment, Exclusion Rates, Social Promotion, Principal Leadership, Accountability Étant donné le manque de documentation sur les pratiques en matière de taux d'exclusion au Canada, cette étude porte sur les pratiques en matière de taux d'exclusion du point de vue des directeurs d'école. Plus précisément, nous avons exploré les facteurs qui influencent la prise de décision des directeurs d'école concernant l'exclusion des élèves des évaluations à grande échelle (EGE). Nous nous sommes renseignées sur les facteurs et les implications de la promotion sociale ainsi que sur la prise de décision fondée sur la compassion, en particulier en ce qui concerne les élèves qui travaillent en dessous du niveau scolaire. À l'aide d'un modèle de recherche qualitative, nous avons mené des entretiens avec huit directeurs d'école et un directeur adjoint. Les résultats ont révélé un manque de clarté et de gouvernance dans les EGE, ce qui a probablement influencé les différences dans les décisions des directeurs d'école. Certains directeurs d'école excluaient automatiquement les élèves qui avaient un plan d'enseignement personnalisé, tandis que d'autres examinaient les dossiers des élèves pour déterminer lesquels exclure. Il y avait également une divergence quant aux soutiens éducatifs autorisés dans le contexte des EGE. Mots clés : évaluation à grande échelle, taux d'exclusion, promotion sociale, leadership du directeur d'école, responsabilisation
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".