Elementary students' engagement in transduction and creative and critical thinking
Bibliographic record
Abstract
Abstract Student engagement in the process of transduction concomitantly affords them with opportunities to develop and express their critical and creative thinking competences. Reconfiguring or remaking knowledge or meaning in modes other than those of the original sources of information requires affective, imaginative and cognitive activity by sign‐makers. In this article, I present examples of elementary students' transduction work and discuss their semiotic meaning‐making with reference to the concepts of critical and creative thinking. During the study featured in this article, Grade 4 students engaged in the process of transduction when participating in activities about elements of visual art and design and conventions of the medium comics, when exploring picturebooks and graphic novels and when composing and explaining their own multimodal texts. The students' transmodal meaning‐making showed how, in the context of the research classrooms, the purposefully designed pedagogy and activities both required and nurtured students' critical and creative thinking, which simultaneously provided the students with opportunities to extend their knowledge and deepen their understandings of the concepts and curriculum content under study.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".