Student satisfaction with Canadian music programmes: the application of the American Customer Satisfaction Model in higher education
Bibliographic record
Abstract
The purpose of this project is to empirically investigate several antecedents and consequences of student satisfaction (SS) with Canadian university music programmes as well as to measure students’ level of programme satisfaction. For this, the American Customer Satisfaction Model was tested through a survey of 276 current Canadian music students. The results indicate that customer satisfaction is strongly affected by programme quality, is slightly impacted by its perceived value but is not influenced by prior student expectations. Satisfaction strongly increases programme loyalty and positive word‐of‐mouth, marginally raises tuition change loyalty, and slightly decreases complaining behaviour. Contrary to expectations, tuition‐related constructs play only a minor role in the model. Therefore, money is a marginal factor in the educational environment; this empirically demonstrates the flaws underlying the premises of the students‐as‐customers metaphor. The resulting satisfaction index may facilitate the comparison among institutions. It was also found that the level of SS with Canadian music programmes was somewhat lower than those with services in other industries.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".