Approaches to Classroom Assessment Inventory: A New Instrument to Support Teacher 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
Teacher assessment literacy has become a central priority across many educational systems in North America and elsewhere in response to growing accountability demands. Although many scholars have aimed to measure teacher assessment literacy, recent research has identified that current assessment literacy instruments do not fully reflect current transformations in the assessment landscape and remain predicated on dated standards for teacher classroom assessment practice. Given significant shifts in classroom assessment over the past 20 years, the purpose of this article is to construct a reliable instrument reflective of contemporary assessment practices and contexts. Specifically, this article describes our instrument development process including construct validation and reliability testing with more than 400 teachers. The result of this research is the Approaches to Classroom Assessment Inventory, which can be used by researchers and practitioners to support teacher assessment literacy in relation to the current accountability framework evident across educational systems.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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 it