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Action Research Plan

​Measuring What Matters:

An Action Research Plan for Technology-Supported Formative Assessment in Middle School Band

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     Middle school band classrooms often rely on real-time, teacher-directed corrective feedback to address issues such as intonation, tone quality, and rhythmic accuracy. While this approach can be effective in the moment, it can also create a dependency cycle in which students wait for correction rather than developing the skills to self-monitor and self-correct. Over time, this pattern increases teacher cognitive load, limits student independence, and makes it difficult to scale instruction efficiently across the ensemble.

     In daily rehearsal, tuning is frequently addressed as a reactive process rather than a structured skill. This study examines whether intentionally integrating individual digital tuners into a consistent formative assessment system can shift that pattern. By combining structured self-assessment, targeted feedback, and digital tuning tools, this research seeks to determine whether students can develop stronger pitch accuracy while increasing ownership of their musical growth.

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Fundamental Research Question

     The fundamental research question guiding this study is: How does the use of individual digital tuners for each performer affect section and ensemble tuning accuracy in a non-varsity band during preparation for the March 2026 UIL evaluation? This question centers on the relationship between structured technology use and measurable ensemble performance outcomes within an authentic performance context. Aural and tuning skills are some of the most difficult skills to teach to non-varsity band students (Springer, Schlegel, & Lewis, 2021). Accurate tuning is a foundational skill in ensemble performance and serves as a critical indicator of students’ ability to listen, self-assess, and adjust independently (UIL, 2024). By examining pitch accuracy in sections and full-ensemble accuracy during UIL preparation, this study seeks to determine whether consistent access to individual digital tuners supports measurable improvements in pitch precision and fosters greater student ownership of musical adjustment.

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Summary of the Literature Review

     The literature supporting this study reflects a strong consensus on the instructional value of formative assessment, particularly when feedback is timely, specific, and actionable. Research suggests that digital feedback tools increase opportunities for feedback frequency, promote student engagement, and enhance the development of musical skills (Palazón & Giráldez, 2018; Zhang et al., 2026). Within music education contexts specifically, formative assessment practices have been associated with improved performance accuracy and enhanced student reflection; however, much of this research emphasizes teacher-directed feedback rather than structured systems that promote sustained student self-monitoring. Technology-supported feedback systems have demonstrated the capacity to increase performance data visibility while encouraging student autonomy and responsibility in ensemble settings (Speer, 2012; Riley, 2013). This sense of ownership is critical to musical growth, as students who feel confident in their skills are more likely to collaborate and contribute meaningfully within the ensemble (Gramm, 2023).

     Despite these findings, limited research examines the structured use of individual digital tuning tools within middle school band settings, particularly during high-stakes performance preparation such as UIL evaluations. Furthermore, existing literature indicates that challenges to technology integration are often related less to access and more to sustainability, alignment, and instructional workload (Raynault et al., 2022). Music educators frequently report needing additional time to adjust instructional pacing and verbal feedback strategies when incorporating technology-mediated environments (Hash, 2021). Collectively, this research underscores the need for context-specific investigation into how structured digital tuner use may influence section and ensemble tuning accuracy within an authentic performance environment.

A comprehensive version of the full literature review is available in the course portfolio(see full literature review here).

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Study Information

Research Design

     This study will utilize a mixed-methods action research design to examine the impact of individual digital tuner use on section and full-ensemble tuning accuracy during preparation for the March 2026 UIL evaluation. A mixed-methods approach was chosen because it allows for the collection of quantitative data to measure changes in pitch accuracy alongside qualitative data that provides contextual insight into student behaviors and instructional dynamics.                     Quantitative measures will include pre- and post-implementation performance recordings, pitch analysis charts, and rubric-based evaluation of tuning accuracy in both section and full-ensemble settings. Qualitative data will include student self-assessment reflections and documentation of rehearsal adjustments. Action research was selected as the methodological framework because it enables systematic inquiry within an authentic classroom environment while allowing for refinement of instructional practices. This approach allows the study to remain grounded in the realities of daily rehearsal while still maintaining methodological rigor. This design ensures that the study remains both research-informed and directly applicable to ongoing instructional decision-making.

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Data Collection and Analysis

     Data collection for this study will span a twelve-week period during preparation for the March 2026 UIL evaluation. The study is structured to ensure that all instruments, rubrics, and tracking forms are prepared prior to implementation so that data collection may begin immediately upon initiation of the study.

     During Weeks 1–2, baseline data will be collected. Students will complete recorded section and full-ensemble performance samples under standardized rehearsal conditions. These recordings will be evaluated using the official UIL Concert and Sight-Reading Evaluation Rubric (see Appendix A), with specific emphasis placed on intonation indicators. In addition, pitch accuracy data will be captured using individual digital tuner readings to establish baseline tuning accuracy. A teacher correction tracking form (see Appendix B) will be used to document the frequency of verbal tuning corrections during rehearsal.

     Weeks 3–8 will constitute the implementation phase. During this time, each student will use an individual digital tuner daily during warm-up and rehearsal. Weekly recorded playing checks will be scored using the established intonation rubric (Appendix A), and pitch accuracy readings will be logged in a digital tracking spreadsheet (see Appendix C). Following each recorded assessment, students will complete a structured self-assessment reflection form (see Appendix D), designed to measure independent correction behaviors and listening strategies. A midpoint data review will occur in Week 5 to examine emerging trends and ensure procedural consistency.

Final data collection will occur during Weeks 9–10 under conditions comparable to the baseline recordings. Performance recordings will again be evaluated using the UIL rubric criteria and pitch deviation analysis. Teacher correction frequency will be documented during these rehearsals using the same tracking instrument employed at baseline to ensure reliability.

     Weeks 11–12 will be dedicated to data analysis and synthesis. Quantitative data will be analyzed using pre- and post-comparison measures, with particular attention given to rubric score improvement across section and full-ensemble settings. Descriptive statistics will be used to identify overall growth trends. Percentage change from baseline to post-implementation will serve as the primary indicator of measurable improvement in tuning accuracy.                          Qualitative data from student self-assessment forms and teacher observational notes will be coded for recurring themes related to independent listening, self-correction, and rehearsal efficiency. Synthesis of quantitative and qualitative findings will provide a comprehensive evaluation of the impact of individual digital tuner use.

             All instruments, including the UIL rubric, teacher correction tracking form, pitch accuracy log template, and student self-assessment form, are included in the appendices to ensure transparency and readiness for implementation.

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Sharing and Communicating Results

     The findings of this study will be shared with multiple stakeholder groups whose roles position them to implement, refine, or scale structured formative assessment practices within music education settings. First, results will be presented to middle school band directors within the district, as these educators operate within similar instructional contexts and face comparable challenges related to rehearsal efficiency and student independence. Sharing findings at this level supports collaborative efforts and practical application across campuses. Second, the results will be communicated to fine arts leadership and instructional technology personnel, as these stakeholders influence resource allocation, professional learning priorities, and district-wide instructional initiatives. Presenting evidence of measurable improvements in tuning accuracy and rehearsal efficiency may inform decisions regarding technology integration and professional development planning.

     Beyond the district level, findings will be shared through conference proposals and professional publications focused on music education and instructional innovation. State and regional conferences provide a platform to disseminate context-specific research to practitioners seeking sustainable rehearsal strategies. Publication opportunities allow for broader contribution to the limited body of research examining structured digital tuner implementation in middle school band settings. These audiences were selected because they are directly positioned to replicate, adapt, or expand the system investigated in this study, thereby increasing the potential impact beyond a single ensemble context.

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Final Reflection

     Upon completion of the study, reflection will occur through a structured review process that includes quantitative data interpretation, qualitative theme analysis, and professional self-evaluation. First, performance data will be examined to determine whether improvements in section and ensemble tuning accuracy are both statistically meaningful and instructionally significant. Attention will be given to consistency across students and rehearsal contexts to assess reliability of growth.

     Second, student self-assessment responses and observational field notes will be reviewed to identify patterns in independent correction behaviors and listening awareness. These qualitative insights will be compared with performance data to determine whether increases in tuning accuracy correspond with observable shifts in student ownership.

     Third, a structured instructional reflection journal will be completed following data analysis to evaluate implementation feasibility, rehearsal flow, time efficiency, and technology management. This reflective process will include written analysis of strengths, challenges, unintended consequences, and potential revisions to the system design.

Finally, the findings will be synthesized into a comprehensive reflective summary addressing the overall effectiveness, sustainability, and scalability of the structured digital tuner system. As both the instructor and researcher, this reflection will also consider how the system influenced daily rehearsal pacing and student engagement in practical classroom contexts. This reflection will inform future instructional adjustments and guide decisions regarding continued implementation, expansion to additional ensembles, or refinement of measurement tools.

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References

 

Gramm, W. (2023). Hey, teacher, leave them kids alone: Facilitation in modern band. Visions of Research in Music Education, 44, Article 3. https://digitalcommons.lib.uconn.edu/vrme/vol44/iss1/3

Hash, P. M. (2021). Remote learning in school bands during the COVID-19 shutdown. Journal of Research in Music Education, 68(4), 381–397. https://doi.org/10.1177/0022429420967008

Palazón, J., & Giráldez, A. (2018). QR codes for instrumental performance in the music classroom. International Journal of Music Education, 36(3), 447–459.

Raynault, A., Heilporn, G., Mascarenhas, A., & Denis, C. (2022). Teaching experiences of e-authentic assessment: Lessons learned in higher education. Journal of Teaching and Learning with Technology, 11(1), 3–17. https://doi.org/10.14434/jotlt.v11i1.34594

Riley, P. (2013). Teaching, learning, and living with iPads. Music Educators Journal, 100(1), 81–86. https://doi.org/10.1177/0027432113489152

Speer, B. (2012). Socioeconomic status and band contest ratings. Texas Music Education Research, 53–63.

Springer, D. G., Schlegel, A. L., & Lewis, A. J. (2021). Effects of dark and bright timbral instructions on the production of pitch and timbre. Journal of Research in Music Education, 68(4), 482–498. https://doi.org/10.1177/0022429420944347

University Interscholastic League. (2024, August 9). Band concert evaluation rubric. https://www.uiltexas.org/files/music/Band_Concert_Evaluation_Rubric.pdf

Zhang, L.-X., Yan, Z., & Wang, X. (2026). Mapping formative assessment in higher music education: A scoping review of its implementation and impact on musical intelligence. Research Studies in Music Education, 1–22. https://doi.org/10.1177/1321103X251400571

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Appendices

Appendix A

UIL Concert and Sight-Reading Evaluation Rubric (2024)

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Appendix B

 

Teacher Tuning Correction Tracking Form

 

Ensemble: ________________________________________________
Date: ____________________

Category                                            Tally

Individual Corrections                       _____

Section Corrections                           _____

Full Ensemble Corrections                _____

 

Total Verbal Tuning Corrections:       _____

Estimated Minutes Spent Addressing Tuning:  _____

Brief Observational Notes:

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Appendix C

 

Pitch Accuracy Tracking Log

Student ID: __________
Instrument: __________

Date: ________

Passage/Excerpt: ________________________

Notes Evaluated: ________________________

Notes Within ±5 Cents: __________________

Accuracy %: ________

 

Appendix D

 

Student Self-Assessment Form
Date: __________
Student ID: _____

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Please circle one response for each statement:
 

1. I was able to identify when I was out of tune without waiting for the teacher.
Strongly Disagree – Disagree – Neutral – Agree – Strongly Agree

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2. I used my digital tuner to make adjustments independently.
Strongly Disagree – Disagree – Neutral – Agree – Strongly Agree

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3. I adjusted my pitch confidently during rehearsal.
Strongly Disagree – Disagree – Neutral – Agree – Strongly Agree


 

Short Reflection:
 

What adjustment strategy helped you most today?

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