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Record W7095831720

RESEARCH ON TIMSS DATA PROVIDES INFORMATION FOR EDUCATIONAL IMPROVEMENT IN ONTARIO

2015· article· en· W7095831720 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityStudent achievementCurriculumAchievement testQuality (philosophy)Educational researchAcademic achievementData collectionTest (biology)
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the results of two secondary research projects completed by the Education Quality and Accountability Office (EQAO) as a follow up to the original Third International Mathematics and Science Study (TIMSS, 1995). In the first instance, the province commissioned a research project, involving the faculties of education of six Ontario universities, to study five topics: curriculum, teacher education, achievement correlates and Francophone studentsÕ results. These studies focused on the differences in student achievement between Ontario and selected high-performance jurisdictions in TIMSS. There were numerous important findings from this research that had implications for policy and practice in Ontario education, particularly in the fields of mathematics and science curriculum and instruction. In the second instance, EQAO commissioned an analysis of the TIMSS achievement data to identify those test items on which Ontario students performed poorly compared to Canadian and international results. Next, responses to these items were examined to determine the errors made and misconceptions held by Ontario students. Finally, this information was used to develop instructional material for use by Ontario teachers. These four teaching resource booklets, focusing

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.349
GPT teacher head0.485
Teacher spread0.136 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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