Exploring the Teaching Skills and Needs of Studio Piano \nTeachers with Mature Aged Students in Halifax, Nova Scotia
Bibliographic record
Abstract
Connecting piano teachers who work in isolated situations with recent research and training is difficult, especially when accreditation, registration with professional bodies, training or ongoing professional development is not mandatory. In previous Australian and international studies, many piano teachers have reported that they do not feel comfortable teaching adults \nwho have reported difficulty finding suitable teachers. Historically, piano performance qualifications have excluded pedagogical training particularly for adults. Current trends defer pedagogical studies to the postgraduate level whilst piano teachers have requested it at earlier stages of their training. To solve these issues within the piano teaching industry, this study set out to examine the teaching skills and needs of both piano teachers and their adult students in Halifax, Nova Scotia, Canada. Qualitative data was collected using face-to-face meetings, email, questionnaires, student journals, teacher reflections, videos and skype interviews. The study produced a set of guidelines for teaching adults that addressed the research criteria. Existing teaching skills emerged in five subthemes: Performance Related Skills, Personal Skills, Teaching Approaches, Student Learning Styles, and Teaching \nStrategies. The teacher’s needs included andragogic training at earlier levels of study, guidelines for adult students, business practices, expanded professional development opportunities and a repertoire for adult students. Students confirmed the need for flexibility, \nunderstanding teachers, less performance and technical skills, facilitative or dictatorial roles relating to skill levels, practice schedules and demonstration of repertoire and practice skills. The study concluded that inclusion of andragogic studies better prepares teachers for increasing numbers of adult learners.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".