Professional Learning of K-6 Teachers in Science Through Collaborative Action Research: An Activity Theory Analysis
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
Primary/elementary teachers are uniquely positioned in terms of their need for ongoing, science-focused professional development. They are usually generalists, having limited preparation for teaching science, and often do not feel prepared or comfortable in teaching science. In this case study, CHAT or cultural–historical activity theory is used as a lens to examine primary/elementary teachers’ activity system as they engaged in a teacher-driven professional development initiative. Teachers engaged in collaborative action research to change their practice, with the objective of making their science teaching more engaging and hands-on for students. A range of qualitative methods and sources such as teacher interviews and reflections, teacher-created artifacts, and researcher observational notes were adopted to gain insight into teacher learning. Outcomes report on how the teachers’ activity system changed as they participated in two cycles of collaborative action research and how the contradictions that arose in their activity system became sources of professional growth. Furthermore, this research shows how the framework of activity theory may be used to garner insight into the activity and learning of teachers as both their professional activities and the context change over time.
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 | 0.050 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.014 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.008 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it