skip to main content
10.1145/3474995.3475039acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicdelConference Proceedingsconference-collections
research-article

E-Learning Perspectives: Rethinking the Purpose of Music Analysis in K-12 Music Programs

Published:22 November 2021Publication History

ABSTRACT

Instructors at all levels face the need to adapt to the increased demand in e-learning. There are different pedagogical challenges to overcome when dealing with performative and academic music fields’ teaching practices. Previous works on the use of e-learning and blended education emphasize the necessity to incorporate digital literacy into the music classroom (Ruokonen et al., 2019.) This research focuses on understanding music theory as an interdisciplinary study rather than purely analytical, and offers an insight into a revised version of Bloom's taxonomy to motivate students to pursue academic music-making by using a novel three-step framework with the assistance of technology that – within the scope of fundamental knowledge, the practical application of analysis, and the usage of music arrangement and composition – allows teachers to incorporate the higher-order components of evaluation and creation at the start of the course study.

References

  1. Suzanne Mary Zak. 2015. Exploring the Effect of Asynchronous Video on Student Learning and Engagement in Music E-learning. Ph.D. Thesis, Teachers College, Columbia University.Google ScholarGoogle Scholar
  2. William J. Baker. 2013. Questioning Assumptions. Vivienne: A Case Study of E-Learning in Music Education. Australian Journal of Music Education 1, 1 (December 2013), 13–22. https://eric.ed.gov/?id=EJ1061834Google ScholarGoogle Scholar
  3. Inkeri Ruokonen, Anu Sepp, Aleksi Ojala, Lenita Hietanen, Vesa Tuisku, and Heikki Ruismäki. 2019. A Web-based Music Learning Environment: A Case Study of Users' Experiences. The European Journal of Social and Behavioural Sciences 26, 3 (September 2019), 2983–2993. https://doi.org/10.15405/ejsbs.260Google ScholarGoogle ScholarCross RefCross Ref
  4. Jason Chi Wai Chen. 2020. Mobile Composing: Professional Practices and Impact on Students’ Motivation in Popular Music. International Journal of Music Education 38, 1 (June 2019), 147–158. https://doi.org/10.1177/0255761419855820Google ScholarGoogle Scholar
  5. Vada M. Coleman. 2016. Aligning National Standards for Music Education with Bloom's Revised Taxonomy. Choral Director 13, 1 (January/February 2016), 10–11.Google ScholarGoogle Scholar
  6. Edmund Bilon. 2019. Using Bloom's Taxonomy to Write Effective Learning Objectives. Kindle Edition.Google ScholarGoogle Scholar
  7. Niall McNulty. 2020. Bloom's Digital Taxonomy: A Reference Guide for Teachers. Kindle Edition.Google ScholarGoogle Scholar
  8. Pooja K. Agarwal. 2019. Retrieval Practice & Bloom's Taxonomy. Journal of Educational Psychology 111, 2 (February 2019), 189–209. https://doi.org/10.1037/edu0000282Google ScholarGoogle Scholar
  9. Nikita Mamedov. 2020. MuseScore and Project-Based E-Learning: An All-Inclusive Approach to Teach Music History, Theory, Performance, and Technology through Bizet's L'amour est un oiseau rebelle. International Journal of Inspired Education, Science and Technology 2, 2 (August 2020), 13–18. http//www.stsir.org/Journals/IJIEST/archive_card.php?id=59Google ScholarGoogle Scholar
  10. Daniel P. Kelly. 2015. Overcoming Barriers to Classroom Technology Integration. Educational Technology 55, 2 (April 2015), 40–43. https://eric.ed.gov/?id=EJ1057225Google ScholarGoogle Scholar
  11. Nathan John Martin. 2019. History for Theorists. Music Theory Online 25, 3 (September 2019), 1–7. https://www.mtosmt.org/issues/mto.19.25.3/mto.19.25.3.martin.htmlGoogle ScholarGoogle ScholarCross RefCross Ref
  12. Marianna Ioannou and Andri Ioannou. 2020. Technology-Enhanced Embodied Learning: Designing and Evaluating a New Classroom Experience. Educational Technology & Society 23, 3 (July 2020), 81-94. https://eric.ed.gov/?id=EJ1266543Google ScholarGoogle Scholar
  13. Glenn Koonce. 2018. Taking Sides: Clashing Views on Educational Issues. McGraw Hill Education.Google ScholarGoogle Scholar
  14. Bruce Benward and Marilyn Saker. 2018. Music in Theory and Practice, Volume 1. McGraw-Hill Education.Google ScholarGoogle Scholar
  15. Nancy Scoggin. 2018. Barron's AP Music Theory. Barron's Educational Series Inc.Google ScholarGoogle Scholar
  16. Peter D. MacIntyre, Ben Schnare, and Jessica Ross. 2017. Self-Determination Theory and Motivation for Music. Psychology of Music 46, 5 (August 2017), 699–715. https://doi.org/10.1177/0305735617721637Google ScholarGoogle Scholar
  17. MusicTheory.Net. Music Theory Exercises. Retrieved December 21, 2020, from https://www.musictheory.net/exercisesGoogle ScholarGoogle Scholar
  18. Matevž Pesek, Ziga Vucko, Peter Savli, Alenka Kavcic, and Matija Marolt. 2020. Troubadour: A Gamified E-Learning Platform for Ear Training. IEEE Access 8, 1 (June 2020), 97090–97102. https://doi.org/10.1109/ACCESS.2020.2994389Google ScholarGoogle ScholarCross RefCross Ref
  19. Nicole Biamonte. 2016. Online Music Theory in Music Theory Online. Zeitschrift der Gesellschaft für Musiktheorie 13, 2 (2016), 297–309. https://doi.org/10.31751/903Google ScholarGoogle Scholar
  20. Christophe Guillotel-Northmann. 2018. European Perspectives on Recent Tonal Theories, their Models, and Analytical Tools. Music Theory Online 24, 4 (December 2018), 1–10, https://doi.org/10.30535/mto.24.4.8Google ScholarGoogle Scholar
  21. NCAS 2014. National Core Arts Standards: Dance, Media Arts, Music, Theatre And Visual Arts. Retrieved December 21, 2020, from https://www.nationalartsstandards.orgGoogle ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICDEL '21: Proceedings of the 2021 6th International Conference on Distance Education and Learning
    May 2021
    330 pages
    ISBN:9781450390033
    DOI:10.1145/3474995

    Copyright © 2021 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 22 November 2021

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)12
    • Downloads (Last 6 weeks)1

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format