Layers of Self- and Co-Regulation: Teachers Working Collaboratively to Support Adolescents' Self-Regulated Learning through Reading
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper reports findings from a longitudinal project in which secondary teachers were working collaboratively to support adolescents' self-regulated learning through reading (LTR) in subject-area classrooms. We build from prior research to “connect the dots” between teachers' engagement in self- and co-regulated inquiry, associated shifts in classroom practice, and student self-regulation. More specifically, we investigated whether and how teachers working within a community of inquiry were mobilizing research to shape classroom practice and advance student learning. Drawing on evidence from 18 teachers and their respective classrooms, we describe findings related to the following research questions: (1) While engaged in self- and co-regulated inquiry, what types of practices did teachers enact to support LTR in their subject-area classrooms? (2) How did teachers draw on research-based resources to inform practice development? (3) What kinds of practices could be associated with gains in students' self-regulated LTR? In our discussion, we highlight contributions to understanding how teachers can be supported to situate research in authentic classroom environments and about qualities of practices supportive of students' self-regulated LTR. We also identify limitations of this work and important future directions.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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 it