Understanding STEM teacher learning in an informal setting: a case study of a novice STEM teacher
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
Research into informal STEM education over the past years has shown that informal learning environments increase students’ learning in STEM. However, how STEM teachers learn in an informal setting remains unclear. Such educators who work in informal settings are not all required to have undergone teacher education or professional development, and their progress may differ from other teachers’ experiences. As a result, it is important to observe and understand the path such teachers take to see how they develop their teacher identities. Drawing upon Baxter Magolda’s ( Making their own way: Narratives for transforming higher education to promote self-development , 2004) self-authorship framework, this qualitative case study explores the progress of one informal STEM teacher throughout her first class by qualitatively analyzing her journals, lesson plans, and artifacts. The teacher’s journey progresses towards self-authorship in a nonlinear way with multiple signs of the epistemological, intrapersonal, and interpersonal dimensions of the framework being deeply interconnected to one another. Implications for STEM teacher education within the context of informal STEM education are discussed.
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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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