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Record W2140654065

Formative Assessment and the Contemporary Classroom: Synergies and Tensions between Research and Practice.

2011· article· en· W2140654065 on OpenAlexaffvenueabout
Louis Volante, Danielle Beckett

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsBrock University
Fundersnot available
KeywordsFormative assessmentVariety (cybernetics)Professional developmentPedagogyMathematics educationPsychologyFaculty developmentTeacher educationMedical educationSociologyMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Twenty teachers working in elementary and secondary schools were interviewed from 2 school districts in southern Ontario, Canada about their understanding and use of particular formative assessment strategies. Analysis of the interviews followed a constant comparison method and revealed a variety of emerging themes. Results suggested an imbalance in the use of formative assessment methods associated with improvements in student learning and achievement. Many teachers noted tensions in utilizing particular formative assessment strategies such as peer assessment and self-assessment. The discussion focuses on the implications for teacher education reform and in-service professional development so that greater synergy between formative assessment research and practice can be obtained in contemporary classrooms. Descriptors: Formative assessment; teacher knowledge; professional development.

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)0.061
metaresearch head score (Gemma)0.164
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 score0.068
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.164
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0040.021
Scholarly communication0.0100.006
Open science0.0020.004
Research integrity0.0020.002
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 head0.259
GPT teacher head0.433
Teacher spread0.174 · 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

Citations82
Published2011
Admission routes3
Has abstractyes

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