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Record W4393899667 · doi:10.5206/eei.v34i1.16920

Predictors of Self-Efficacy for Inclusive Education: A Comparison of Canada and Germany

2024· article· en· W4393899667 on OpenAlexafffundvenueabout
Jacqueline Specht, Susanne Miesera, Jamie L. Metsala, Donna McGhie‐Richmond

Bibliographic record

VenueExceptionality Education International · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of VictoriaMount Saint Vincent UniversityWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSelf-efficacyPsychologySpecial educationMainstreamingMathematics educationPolitical sciencePedagogySociologySocial psychology

Abstract

fetched live from OpenAlex

This study investigated group and individual differences in beginning secondary school teachers’ self-efficacy for the inclusive classroom in Canada and Germany. This research complements previous Canadian and German research that compared the self-efficacy of pre-service teachers in each country, as well as those experiences that contributed to their self-efficacy. In the current study, 110 Canadian and 90 German beginning teachers completed the Teacher Efficacy for Inclusive Practice scale and the Beliefs About Learning and Teaching Questionnaire and described their experience with diverse populations. As a group, Canadian teachers were higher in their self-efficacy for implementing inclusive instruction and for engaging in collaboration with families and colleagues. The groups did not differ on self-efficacy for managing behaviour, though males felt more efficacious than females. Overall, country accounted for 18% and 11% of the variance in self-efficacy for inclusive instruction and for collaboration, respectively. Additional individual differences in self-efficacy for instruction and for managing behaviour were accounted for by participants’ experiences with diverse populations. Finally, participants’ beliefs that aligned with student-centred approaches accounted for unique variance in self-efficacy for inclusive instruction and collaboration. Results are discussed in the context of prior research and possible considerations for teacher education programs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.397
Teacher spread0.374 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2024
Admission routes4
Has abstractyes

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