Commentary: A Candid Look at Teacher Research and Teacher Education Today
Bibliographic record
Abstract
In this interview, Ken Zeichner describes the current changes and trends in teacher education and examines the university’s role in providing teachers with the necessary skills and knowledge. He advocates a model where the university, community, and school work together as partners to give teachers a more diversified set of knowledge and skills. This type of teacher education can be situated in the university, but it may be more effective if it takes place "outside of the bureaucracy and budget of both the university and the school system." Dr. Zeichner sees teacher research as a critical part of teacher development and firmly believes that each teacher should adopt an inquiry stance, where research is part of the practice rather than a separate activity. In conclusion, he states that, "…the old traditional forms of university-based teacher education…are not going to survive."
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.096 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.025 | 0.025 |
| Scholarly communication | 0.013 | 0.022 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.065 | 0.099 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".