Bibliographic record
Abstract
Second and foreign language teaching provides a career for hundreds of thousands of teachers worldwide, and the vast educational enterprise of English language teaching could not operate effectively without the dedication and effort of such teachers day by day and year by year throughout their careers. Maintaining the interest, creativity, and enthusiasm of experienced language teachers in their profession is one of the challenges faced by program coordinators, school principals, and teacher-educators. Teachers need to expand their roles and responsibilities over time if they are to continue to find language teaching rewarding, and it is the responsibility of schools and other educational institutions to provide opportunities for teachers to develop longer-term career goals and opportunities over time. The field of language teaching is subject to rapid changes, both as the profession responds to new educational paradigms and trends and as institutions face new challenges as a result of changes in curriculum, national tests, and student needs. As a result, teachers need regular opportunities to update their professional knowledge and skills, that is, their opportunities for professional development. Teachers need to be able to take part in activities such as: engaging in self-reflection and evaluation developing specialized knowledge and skills about many aspects of teaching expanding their knowledge base about research, theory, and issues in teaching taking on new roles and responsibilities, such as supervisor or mentor teacher, teacher-researcher, or materials writer developing collaborative relationships with other teachers This book provides a survey of current approaches to professional development for language teachers, particularly for those newto teaching or those who seek opportunities for in-service teacher education.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.160 | 0.098 |
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".