Teacher Experiences in Turkiye in the Mathematics Olympiads Process: A Phenomenology Study
Bibliographic record
Abstract
Mathematics olympiads play a crucial role in society as they are designed to identify students with exceptional mathematical talent and provide education tailored to their unique needs. However, in many countries, olympiad programs are not implemented in a structured manner; instead, they are managed by a small group of dedicated teachers. The purpose of this study is to explore the experiences of teachers involved in mathematics olympiads in Turkiye, identifying the challenges they face and potential solutions. To achieve this, the study examines the awareness of olympiads, the student selection process, and the preparation procedures for the olympiad in Turkiye. In this study, phenomenology, a qualitative research method, was employed to investigate the shared experiences of teachers with extensive experience in mathematics olympiads. Data were collected through semi-structured interviews and analyzed thematically using content analysis. The findings revealed that awareness of the olympiad was inadequate among parents, students, and teachers, difficulties were encountered in identifying and reaching the right students, and challenges arose during the preparation process, including issues related to the official status of the program, curriculum uncertainty, and interactions with administrators. To address these issues, several solutions were proposed, including the development of a curriculum, the establishment of a student selection system, the organization of teacher training programs, the localization of the selection process, awarding additional points to successful students in other exams, and creating activities within schools to raise awareness about olympiads among students.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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 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".