Vygotskian hybridizing of motion and mapping: Learning about geometric transformations in block-based programming environments
Why this work is in the frame
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Bibliographic record
Abstract
Research on geometric transformations suggests that early learners possess intuitive understandings grounded in motion metaphors, transitioning to mappings. The processes through which students transition between these two conceptions are not fully understood. We propose that Vygotskian hybridizing (related to Vygotsky’s articulation of everyday and scientific concepts) may provide a lens for thinking about the relationship between these conceptions. Design features of block-based programming environments provide affordances to support hybridizing by providing a co-action space for learning. We conducted a comparative case study of four grade seven and eight students working in a Scratch task (Code the Quilts) and a game (Transformations Quest) to construct understandings of geometric transformations. Our findings suggest: (1) students hybridized their personal experience of motion and mathematical knowledge of mapping to build geometric transformations understandings and (2) the co-action space in which students worked promoted distributed interactions between students, block-based environments, and tasks to support hybridizing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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