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Record W2973191219 · doi:10.1177/0888406419873060

An Examination of Preservice Teachers’ Self-Efficacy and Beliefs About Inclusive Education

2019· article· en· W2973191219 on OpenAlexaff
Jamie L. Metsala, Mary Jane Harkins

Bibliographic record

VenueTeacher Education and Special Education The Journal of the Teacher Education Division of the Council for Exceptional Children · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsPsychologySelf-efficacyContext (archaeology)Inclusion (mineral)Teacher educationMathematics educationReading (process)PedagogyPrimary educationSpecial educationTeacher preparationSocial psychology

Abstract

fetched live from OpenAlex

Teachers’ self-efficacy and beliefs are important to classroom practices and student success. In this study, the authors examine preservice teachers’ self-efficacy and beliefs related to inclusive education. One hundred seventy-nine preservice teachers enrolled in secondary or elementary education programs participated in this study. Overall, participants in elementary versus secondary programs felt more responsible for students with disabilities and more efficacious with inclusive practices. At the same time, preservice teachers in the secondary program and those in their second (vs. first) year rated themselves higher on negative beliefs about inclusive education and viewed ability as more of a fixed and stable trait. Preservice teachers with a history of reading difficulty had higher teacher self-efficacy than those without this history. The factors examined in this study accounted for about a third of the variance in each of preservice teachers’ self-efficacy for inclusive instructional practices and in their negative beliefs about inclusive education. Epistemological beliefs about ability emerged as a strong predictor of preservice teachers’ negative beliefs about inclusive education. The results from this study are discussed within the context of preparing teachers for the inclusive classroom.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.344
Teacher spread0.303 · 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 designObservational
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

Citations35
Published2019
Admission routes1
Has abstractyes

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