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Record W2312974616 · doi:10.55016/ojs/ajer.v61i3.56075

New Teacher Perceptions of Inclusive Practices: An Examination of Contemporary Teacher Education Programs

2016· article· en· W2312974616 on OpenAlexafffundvenueabout
Eleftherios Soleas

Bibliographic record

VenueAlberta Journal of Educational Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsQueen's University
FundersBrock UniversityQueen's University
KeywordsPedagogyPerceptionPsychologyTeacher educationMathematics educationTeacher preparationSociology

Abstract

fetched live from OpenAlex

This article details a sequential explanatory mixed-method study into the perceptions of 44 new teachers regarding inclusive practices from their teacher education program, as well as their relative intent to utilize them in their practice. The purpose of this study was to determine the self-perceived capacity of the next generation of teachers leaving a Canadian teacher education program from a mid-sized university in Southern Ontario. As new teachers are the product of contemporary teacher education programs, their lingering needs and perceptions are potential avenues for intervention in continuing the refinement of teacher education. First, a complete audit of relevant teacher education was performed, followed by participants completing a mixed-methods survey. Then, these survey findings informed critical-case interviews. Analyses yielded two groups of themes: confidence from teacher education, and the lingering needs of new teachers. These data suggest that teacher education programs are not entirely effective at producing new teachers who are confident in their abilities to be inclusive practitioners in the classroom. Further, the perceptions of new teachers illustrate avenues for intervention in making teacher education programs more effective.

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)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.002
Open science0.0010.004
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 head0.120
GPT teacher head0.490
Teacher spread0.370 · 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 designQualitative
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

Citations8
Published2016
Admission routes4
Has abstractyes

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