Teacher beliefs about the cognitive diagnostic information of classroom‐ versus large‐scale tests: implications for assessment literacy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Classroom teachers are in the front line of introducing students to formal learning, including assessments, which can be assumed to continue for students should they extend their schooling past the expected mandatory 12 years. The purpose of the present investigation was to survey secondary teachers’ beliefs of classroom and large‐scale tests for (a) providing information about students’ learning processes, (b) influencing meaningful student learning, and (c) eliciting learning or test‐taking strategies for successful test performance. Secondary teachers were surveyed because a majority of large‐scale tests are developed for secondary students (e.g., PISA, TIMSS). Results suggested that in comparison to large‐scale tests teachers believe classroom tests provide more information about student learning processes, are more likely to influence meaningful student learning, and are more likely to require learning over test‐taking strategies. The implications of these results for assessment literacy are explored.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it