Inclusion and Policy Enactment in Teacher Education: A Focus on Pre-service Teacher Preparation for the Inclusive Classroom
Bibliographic record
Abstract
Preparing pre-service teachers to enact inclusive teaching practices in the inclusive classroom has become a concern for national and international educational organizations. Adding to these concerns, research on inclusive education policy enactment in teacher education programs, particularly in a continuously growing and recognized diverse society such as Ontario, Canada, is scarce. In order to provide insight to address these issues, this study aimed to examine the enactment of the policy document titled Equity and Inclusive Education in Ontario Schools: Guidelines for Policy Development and Implementation (OME, 2014) in one Ontario teacher education program. In particular, the study focused on exploring the interpretations and the practices of those involved in preparing pre-service teachers for the inclusive classroom including teacher educators, associate teachers, and program coordinators. The meaning making of pre-service teachers towards inclusion and their future practices in the classroom are also examined. The theoretical framework adopted in this single qualitative case study was informed by the theory of New-Institutionalism and the notion of policy enactment. The methods used included semi-structured interviews and review of teacher education and inclusive education policy documents. The analysis revealed the existence of different institutional logics among the study participants towards inclusion and pre-service teacher preparation. These logics were related to the institutional settings within which these participants were situated including norms, rules, beliefs, and regulations, as well as their own experiences in their wider social and cultural contexts.
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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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.026 | 0.028 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| 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".