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Record W3157242782

A Comparative Examination of Canadian and American Pre-Service Teachers’ Self-Efficacy Beliefs for Literacy Instruction

2017· article· en· W3157242782 on OpenAlexaboutno aff
Katia Ciampa, Tiffany L. Gallagher

Bibliographic record

Venue2017 Conference of the Canadian Society for the Study of Education · 2017
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsCourseworkSelf-efficacyLiteracyPsychologyReading (process)Mathematics educationPedagogyMedical educationSocial psychologyPolitical scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

This comparative study explored pre-service elementary teachers' self-efficacy beliefs for literacy instruction in Canada and the USA, as well as the contextual factors (e.g., policy; sources) that contribute to these self-efficacy beliefs. Survey data were collected over a two-year period at the beginning and end of a required elementary literacy methods courses that assessed pre-service teachers’ self-efficacy for literacy instruction. Paired t-test results showed a significant difference in the pre-service teachers’ literacy efficacy beliefs related to oral reading from the beginning to the end of the course. Independent samples t-tests indicated that there were significant differences in literacy self-efficacy beliefs between the Canadian and US samples, with the former group scoring higher than the latter group on literacy efficacy beliefs related to instructional strategies and balanced literacy instruction. There was a strong negative correlation between Canadian pre-service teachers’ self-efficacy for literacy instruction and university coursework related to literacy instruction. There was also a very strong negative correlation between the Canadian students’ work experience and efficacy beliefs related to oral reading and assessment. There was a positive correlation between US self-efficacy beliefs related to engagement and differentiation and university coursework related to literacy instruction.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.651

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.067
GPT teacher head0.362
Teacher spread0.295 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venue2017 Conference of the Canadian Society for the Study of EducationSame topicReading and Literacy DevelopmentFrench-language works237,207