Drawings of Feedback: Students in NZ
Bibliographic record
Abstract
There are 193 drawings made by New Zealand primary, middle, and high school students when asked to draw a picture of feedback. This study builds on previous studies in which we asked students to draw pictures of assessment. These files were analysed and described in a published article:Harris, L. R., Brown, G. T. L., & Harnett, J. (2014). Understanding classroom feedback practices: A study of New Zealand student experiences, perceptions, and emotional responses. Educational Assessment, Evaluation and Accountability, 26(2), 107-133. doi:10.1007/s11092-013-9187-5 An earlier version was presented as:Harris, L. R., Brown, G. T. L., & Harnett, J. (2012, April). Student pictures of feedback: Feedback is for learning and from teachers. Paper presented at the 2012 AERA Annual Meeting of the American Educational Research Association, Vancouver, BC.
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.024 |
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".