Editorial Commentary: Teacher Learning in Transition: Reflections on Practice, Assessment, and Innovation
Bibliographic record
Abstract
This issue of the Journal of the International Society for Teacher Education (JISTE) brings together six articles from Norway, the United States and Bhutan that explore the shifting landscape of teacher learning, professional development, and pedagogical transformation. The issue spotlights how teacher educators and in-service teachers are grappling with emerging demands - from integrating educational technologies and facilitating complex mathematics instruction, to re-evaluating assessment practices and addressing entrenched norms in teacher education. The authors draw on diverse research methods, including reflective self-study, case study, survey research, and discourse analysis, to examine the tensions, insights, and innovations emerging within teacher education programs and classrooms across global contexts. As teacher roles evolve in response to sociocultural, technological, and policy shifts, the articles in this issue provide critical perspectives on how educators are learning to navigate these transitions. Together, they invite readers to consider the value of reflective practice, digital engagement, and pedagogical flexibility in building responsive and inclusive education systems.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".