Design Thinking and Immersive Professional Learning in Teacher Education
Bibliographic record
Abstract
Through their personalized practices, experienced educators develop two professional acts: knowing-in-action and reflecting-in-action. Novice educators grapple to understand these actions when witnessing experienced educators choose to adopt/adapt new technologies, differentiate instructional strategies, or promote new educational reforms into their classrooms. Using a design-based research approach, the authors' work suggests novice educators may require immersive professional learning opportunities to develop pedagogical empathy. Pedagogical empathy means fostering a receptiveness of other educators' professional choices (empathy) based on known theories, methods and practices of teaching and learning (pedagogy). The authors discuss their findings when introducing a human-centered design thinking process using a design challenge, collaborative prototyping, and multiple levels of reflection with experienced and novice educators. This chapter shares two years of research informed experience with educators at various stages of their careers in both western Canada and Tanzania.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".