Breaking the Mold of Preservice and Inservice Teacher Education
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 unique collection of chapters takes the reader on a tour to explore innovative preservice and inservice teacher education practices from many regions of the United States, Canada and the world. Each of the chapters offers an authentic, documentary account of successful initiatives that break the traditional mold of teacher education. Section I presents unique preservice teacher preparation programs and initiatives. These chapters offer compelling ideas to readers who seek change in the higher education model of teacher training. Section II features inservice education for both the novice and veteran teacher. The chapters included in this section of the book offer stories of innovation as professional development initiatives. Each of the programs describes the setting or context in which the innovation takes place and focuses on the role of teachers and students. Chapters in Section III highlight the benefits of collaborative teacher education practices. Through the lens of community and with the tools of cooperation and support, innovative practices are described for the improvement of student learning. Section IV offers less commonly presented diverse, global perspectives on teacher education. The sharing of ideas through global examples highlight the similarities in educational practices and common goals across the world.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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