Intergenerational learning in a teacher education context: the Jared Phenomenon
Bibliographic record
Abstract
While student teachers have essentially unfettered access to the expertise of university instructors and practicum supervisors during their teacher education program, this study explores the potential of employing recent graduates as a source of expertise that current student teachers might draw upon during their program. Over the course of three years, the authors employed recent graduates to facilitate instruction in an experimental 12-month after-degree BEd option at the University of British Columbia. Through the use of surveys and interviews, the authors demonstrate that graduate involvement is a special case of intergenerational learning that they refer to as the Jared Phenomenon. Their analysis offers five characteristics that define the phenomenon, outlines the contexts in which this definition is applicable, and points to a set of dilemmas that arise from its application. They recommend the judicious use of recent graduates as instructors for current students as an important and underutilised resource in teacher education.
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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 | 0.000 | 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 | 0.000 |
| 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 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".