Teacher Candidates’ Self-Determined Motivation to Develop and Implement Self-Regulated Learning Practices
Bibliographic record
Abstract
Teaching towards self-regulated learning (SRL) is complex and involves the development of skills and sustained motivation. This study examined teacher candidates’ (TCs’) identification of supports and constraints for their self-determined motivation to develop SRL practices. Findings from one case within a qualitative, longitudinal study of four teacher candidates enrolled in a teacher education program (TEP) focused on SRL in Canada are presented. Supports and constraints for this TC’s self-determined motivation in relation to her development and implementation of self-regulated promoting practices are identified and discussed from the perspective of SRL and self-determination theory. The data analyzed included: a questionnaire, interviews, documents, and in-class observations. The finding reveals detailed descriptive codes and categories for SRL and management practices, as well as codes related to TCs’ motivational constraints and affordances for their development of SRL practices.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".