Activity-theoretical research on science teachers' expertise and learning
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
Teachers serve as critical mediators of student learning. As such, teachers' expertise and learning remain important foci for theoretical development and empirical research. Cultural-historical activity theory (CHAT) has been forwarded as an underutilized but potentially powerful tool for educational research, including teachers' expertise, practice, and learning. However, as yet, little CHAT-based research has been undertaken focused on science teachers and teaching. In this paper, we draw upon two such empirical studies in which CHAT was used as an explicit theoretical and analytical framework to explore CHAT-based perspectives on science teacher learning. We present findings from these studies to highlight important themes in CHAT-based research on science teachers' learning in and from practice. These findings can not only inform programmatic efforts to better promote teachers' learning, but also theoretical perspectives on science teachers' expertise, practice, and learning across the science education and learning sciences communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.020 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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