The Need for Remedial Pedagogy in Undergraduate Violin Instruction: A Case Study of Postsecondary Instructors’ Perceptions
Bibliographic record
Abstract
Postsecondary violin instructors often implement remedial pedagogy with first-year performance/music education students to holistically nurture individual artistic goals and overall well-being. Using a qualitative multiple case study research design, 10 postsecondary violin instructors from across North America were interviewed to investigate their perceptions of why remedial pedagogy is often required for incoming first-year students. The interview data and external data sources were analyzed through the lens of empiricism, attribution theory, and teacher attribution scaffolding theory. The results indicated that some secondary instructors may require further knowledge in terms of effective communication and pedagogical approach with individual students. Other factors may be equally critical throughout the learning process, including student motivation, resistance, and parental support. The pedagogical expertise presented in this research can inform violin instructors about the factors/challenges that may affect teaching and learning as students prepare for higher education.
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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 | 0.000 |
| 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 | 0.001 |
| 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".