Teacher Induction Program: First Experience in Turkey
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
Perspectives on beginning teachers’ possible problems and their reasons force many of the countries to develop teacher induction programs. Teacher induction programs are extensive, consistent and ongoing professional processes aiming to train, support, and protect novice teachers. In Turkey, the process of “teacher induction program” which has been initiated in 2016 is a regulation to train novice teachers for six months. The rationale of the program for the novice teachers is to have more practical experience and in turn to teach effectively in their classrooms. As each new regulation can be accompanied by some obscurities, scientific research will serve to increase the quality of the processes and practices in teacher induction programs. In this sense, the current research aims to determine the views of 357 novice teachers on the goal achievement of the teacher induction program. A questionnaire form was developed to collect the data consisting of 43 questions one of which is an open-ended question. Results suggested that preservice education and teacher induction program have similar contributions in regard to the goal achievement of the teacher induction program. Moreover, considering the process as a whole, the mentor has an important role in the development of novice teachers.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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