RESEARCH ON TIMSS DATA PROVIDES INFORMATION FOR EDUCATIONAL IMPROVEMENT IN ONTARIO
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.027 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".