The Effects of Goal Setting on Persistence, Resilience, Engagement, and Self-efficacy of Students Taking a Required Concert Band Class
Bibliographic record
Abstract
abstract: Concert band classes have been part of the schooling landscape in Canada and the United States since the early 1900’s. Nevertheless, the context in which concert band classes have been offered recently has undergone a dramatic change. Typically, concert band classes have been offered as an elective course in schools, but more recently, concert band classes in some school settings have been required, especially at the beginning level. Because of the required band class context, it can no longer be assumed students in such band classes have the same music making goals exhibited by earlier generations of students. Persistence, resilience, engagement and musical self-efficacy have been affected when choice was no longer afforded. This study was conducted to examine how goal setting strategies influenced student persistence, resilience, engagement, and musical self-efficacy within a required beginning concert band class. Framed by Bandura’s Self-Efficacy Theory, Bronfenbrenner’s Ecological Systems Theory, and Tinto’s research on persistence, a goal setting intervention was devised and offered to students taking a required grade 6 beginning band classes at an independent school in Ontario. Using a concurrent mixed method framework, quantitative and qualitative data were collected. Results from the quantitative data indicated no changes in the outcome measures. By comparison, qualitative data indicated persistence, resilience, engagement, and musical self-efficacy were influenced when using the goal setting tools. From students’ perspectives, musical self-efficacy and personal self-efficacy were realized through grade attainment, music notation fluency, rhythmic accuracy goals established on students’ weekly goal charts, and goal setting mind maps. Persistence and resilience were influenced as students overcame physical challenges through scaffolding their practice efforts by creating individualized practice regimens. Engagement was influenced through the goal setting intervention as students set goals such as performing for others—be it peers, family, or their teachers. In terms of future research and practice, cycles of action research would include expanding the goal setting intervention to include creating differentiated music making experiences alongside the traditional concert band genre, based upon principles drawn from a community music making contexts—specifically those involving collaborative music making like those experienced in Samba band ensembles. Recommendations for such experiences were shared.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".