Teachers’ Self-Directed Online Learning Strategies and Experiences: A Longitudinal Study
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 study examines the strategies used by teachers during a series of self-directed online learning (SDOL) experiences. Over a period of four months, the authors met with 12 practicing elementary teachers three separate times. During the meetings, the teacher participants informally used the Internet for their professional learning in literacy. Their online navigations were captured using screen-recording software. Immediately following their navigations, a virtual revisit think aloud was conducted where participants verbalized their thoughts aloud while viewing a screen-recording of their navigation. Semi-structured interviews with each participant were conducted following the three meetings. Data were analyzed both qualitatively and quantitatively. Findings relate to the cognitive and behavioral strategies in which participants engaged during their SDOL experiences and how these strategies changed over time.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 it