Collaborative Action Research in a Northern Early Childhood Educator Program: Professional Learning of Instructors and Interns
Bibliographic record
Abstract
This collaborative action research, carried out by early childhood education interns, with the support of their instructor and two university researchers, shows the empowerment of postsecondary students that occurs when they are responsible for designing and implementing research projects tailored to their placement contexts. The early childhood educator interns took up a stance as reflective practitioners who developed professional skills and knowledge in an area that was meaningful to them—teaching young children their Indigenous language. The interns shared responsibility for their learning with their instructor, who was also conducting research into her practice, gathering data to identify the impact of her new teaching approach on interns’ learning. The simultaneous use of collaborative action research methods at the instructor and intern levels provides research-based information for the larger professional field. Additionally, the college instructor and the student interns are positioned as research-practitioners who use action research to support their professional growth.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".