Applying the Understanding by Design (UbD) Model to Support Critical Thinking and Multidisciplinary Inquiry in the Chinese High School Biology Curriculum
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Bibliographic record
Abstract
This paper presents a method of guiding teachers to develop "critical action inquiry" curriculum lessons, using a UbD (Understanding by Design) approach.This method is being developed at South China Normal University, as part of an ongoing collaboration with researchers in the Critical Action Learning Exchange (CALE) project, at the University of Toronto.In this design-based research involving 12 faculty and 92 students, the research team and the pedagogical team accompanied teachers in their development of pedagogical scenarios and use UbD as a framework.We present our application of UbD to the design of a Critical Action Inquiry project called the Dongguan Coastal Flooding project.We show how the design of CALE activities can be guided by UbD, and discuss our next steps for applications with teachers in southern China.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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