Vocational Music Education Institutions and Music Teacher Training in Turkey in the 21st Century
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
In this study, the process of training music teachers working in primary, middle, and high schools affiliated with the Ministry of National Education in Turkey is examined. Within this scope, Higher Education Programs related to Music Education, Pedagogical Formation Education Certificate Program (PFECP) and Student Profile/Quality of Music Education Institutions were investigated to answer three fundamental questions. According to the findings obtained, it has been determined that there is a structure of music education in 16 different faculties with various names, apart from the Music Education program in the Faculty of Education, and students studying in these institutions have the right to be appointed as music teachers by completing the (PFECP). Furthermore, it was determined that the scores of the TYT (Basic Skills Test) determined for admission to 16 different faculties outside the Faculty of Education were very low/insufficient. The education process of the Pedagogical Formation Education Certificate Program does not meet the expected “competencies of the music teaching profession” in training music teachers. In our country, which has a tradition, experience, and accumulation of training music teachers for 100 years, there is a need to re-think and re-imagine the structure and policies of music teacher training in the 21st century. The Ministry of National Education (MONE), the Council of Higher Education (COHE), universities, academicians, civil society organizations, and all stakeholders in music education should take steps to correct the deficiencies, inconsistencies, and contradictions in teacher/music teacher training practices.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it