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Record W3084220926

Exploring science teachers’ conceptions and efficacy of assessment in Manitoba schools: A case study.

2019· dissertation· en· W3084220926 on OpenAlexaboutno aff
Monsurat Omobola Raji

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPedagogySociologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Contemporary classroom assessment practices have been identified as a promising pedagogical approach to improve students’ learning and the development of their metacognitive skills; however, the complexities inherent in assessment point towards the need for careful consideration of the educational context of such practices, as well as the numerous factors influencing teachers’ assessment practices. Research has established that such factors include teachers’ conceptions of assessment, particularly in terms of the purpose assessment plays in the classroom and teachers’ perceived self-efficacy. In science education and particularly in Manitoba, there is an opportunity to further investigate the relation between these concepts, especially since the publication of some provincial guidelines on assessment a little more than a decade ago. The purpose of this multiple case study research is to provide insights into three Manitoban high school science teachers’ conceptions of assessment, classroom assessment practices, and their perceived self-efficacy in developing and using contemporary assessments in their science classrooms. The data from one-on-one interviews with the three teachers and the assessment artifacts they shared were analyzed using qualitative content analysis. Results corroborate literature that indicates a strong connection between assessment conceptions, perceived self-efficacy and classroom practices, and suggest an interesting relationship to provincial assessment recommendations, despite teachers’ stated unfamiliarity with one of these documents. Implications of the study for science teacher’s practices, science education, policymakers, and future research are presented.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.089
GPT teacher head0.337
Teacher spread0.247 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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