From Teacher Isolation to Teacher Collaboration: Theoretical Perspectives and Empirical Findings
Bibliographic record
Abstract
<p>This study aims at: (1) reviewing the underlying causes of teacher isolation; (2) unreavelling the negative effects of isolation on teachers’ professional and personal life; (2) illustrating different modes of voluntary collaboration among teachers; (4) presenting substantive evidence is support of collaboration as an efficient mode of professional development, and (5) drawing implications for practice. Since collaboration leads to professional development and academic satisfaction, it is suggested that schools: (1) be structured in ways that maximize collaborative discussion among teachers; (2) create conditions taht are conducive to growth and development for both teachers and learners; (3) reinforce study groups which aim at making teachers reflect on their current beliefs and practices and chane them for the better; (4) move away from the once-popular teacher training courses towards teacher study groups, peer observation of teaching and mentoring, which are conducive to constructing knowledge rather than passively receiving knowledge. The review has many other clear implications for pracatitioners and other stakeholders.</p>
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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".