Skip to main content

Advertisement

SpringerLink
Log in

The effect of using digital technology in the music education of elementary school students

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

There is little research about using information technologies in music education. The issue of comparing the approach to music education based on modern technologies with the traditional approach is of particular interest. Thus, the purpose of the study is to compare the effectiveness of music education based on modern technologies with the traditional approach to learning music. The study was conducted at Lishui Music School. The level of musical skills and abilities of music school students was assessed for the period of 1.5 years. The study involved children aged 5–6 years who had no prior musical experience. The control and study groups consisted of twenty-four children each. The children learned to play the piano and solfeggio. The study group trained in accordance with the New way of Music program. The control group followed the traditional curriculum. At the end of the study, there was an exam. The students performed program pieces corresponding to the study period. The expert committee evaluated the following performance parameters: the number of errors in the reproduction of the musical text, the performance rhythm, the artistic expressiveness of the performance, continuous and complete performance, the performance dynamics, mastery of strokes, as well as positioning of the body and hands during the performance. Except for the last parameter, the study group performed better than the control group. The results obtained justify further expanded studies of the New way of Music program to be subsequently widely introduced in music schools.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data Availability

Data will be available on request.

References

  • Addessi, A. R., & Pachet, F. (2005). Experiments with a musical machine: musical style replication in 3 to 5 year old children. British Journal of Music Education, 22(1), 21–46. https://doi.org/10.1017/s0265051704005972

    Article  Google Scholar 

  • Arifi, V. (2004). Automatic synchronization of musical data: A mathematical approach. Computing in Musicology: A Directory of Research, 13, 9–33

    Google Scholar 

  • Brown, A. R. (2007). Software development as music education research. International Journal of Education & the Arts, 8(6), 1–14

    Google Scholar 

  • Brown, A., & Brown, A. R. (2012). Computers in music education: Amplifying musicality. Routledge

  • Calderón-Garrido, D., Gustems-Carnicer, J., & Carrera, X. (2020). Digital technologies in music subjects on primary teacher training degrees in Spain: Teachers’ habits and profiles. International Journal of Music Education, 38(4), 613–624. https://doi.org/10.1177/0255761420954303

    Article  Google Scholar 

  • Chen, C. W. J. (2020). Mobile composing: Professional practices and impact on students’ motivation in popular music. International Journal of Music Education, 38(1), 147–158. https://doi.org/10.1177/0255761419855820

    Article  MathSciNet  Google Scholar 

  • Dittmar, C., Cano, E., Abeßer, J., & Grollmisch, S. (2012). Music information retrieval meets music education. Dagstuhl Follow-Ups (3 vol., pp. 1–8). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik

  • Frapat, M. (2004). L’invenzione musicale nella scuola dell’infanzia. Bergamo: Junior

    Google Scholar 

  • Godau, M. (2016). “Am besten ist, der Musiklehrer geht einen Kaffee trinken oder was weiß ich-“ Zur Lehrer_innenrolle in selbstständigen Lernprozessen im Musikunterricht. Musikpädagogik und Erziehungswissenschaft (pp. 155–169). Münster/ New York: Waxmann

    Google Scholar 

  • Gorgoretti, B. (2019). The use of technology in music education in North Cyprus according to student music teachers. South African Journal of Education, 39(1), 1–7. https://doi.org/10.15700/saje.v39n1a1436

    Article  Google Scholar 

  • Gouzouasis, P., & Bakan, D. (2011). The future of music making and music education in a transformative digital world. The University of Melbourne Refereed E-Journal, 2, 127–154

    Google Scholar 

  • Hu, P. C., Chen, P. H., & Kuo, P. C. (2018). Educational model based on hands-on brain-computer interface: implementation of music composition using EEG. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 982–985). IEEE. https://doi.org/10.1109/SMC.2018.00174

  • Jäger, S. (2015). Experimentelle Musik in der Sekundarstufe: Ausgewählte Ansätze für das Klassenmusizieren. Augsburg: Wißner

    Google Scholar 

  • Kirihara, K., Rissling, A. J., Swerdlow, N. R., Braff, D. L., & Light, G. A. (2012). Hierarchical organization of gamma and theta oscillatory dynamics in schizophrenia. Biological Psychiatry, 71(10), 873–880. https://doi.org/10.1016/j.biopsych.2012.01.016

    Article  Google Scholar 

  • Konovalova, S. A., Kashina, N. I., Tagiltseva, N. G., Matveeva, L. V., & Pavlov, D. N. (2020). Application of smart education technologies on the disciplines of the music-theoretical cycle in musical college and university. Smart Education and e-Learning 2020 (pp. 255–262). Singapore: Springer. https://doi.org/10.1007/978-981-15-5584-8_22

    Chapter  Google Scholar 

  • Kryukova, V. V. (2002). Musical pedagogy. Rostov-on-Don: Phoenix

    Google Scholar 

  • Kumaran, D. S. (2018). Using EEG-validated music emotion recognition techniques to classify multi-genre popular music for therapeutic purposes. Nanyang Technological University

  • Leong, S. (2012). Navigating the emerging futures in music education. Journal of Music, Technology & Education, 4(2–3), 233–243. https://doi.org/10.1386/jmte.4.2-3.233_1

  • Lin, H. C., & Hwang, G. J. (2019). Research trends of flipped classroom studies for medical courses: A review of journal publications from 2008 to 2017 based on the technology-enhanced learning model. Interactive Learning Environments, 27(8), 1011–1027. https://doi.org/10.1080/10494820.2018.1467462

    Article  Google Scholar 

  • Liu, C., Hwang, G. J., Tu, Y. F., Yin, Y., & Wang, Y. (2021). Research advancement and foci of mobile technology-supported music education: a systematic review and social network analysis on 2008–2019 academic publications. Interactive Learning Environments, in press. https://doi.org/10.1080/10494820.2021.1974890

  • Muradyan, Y. (2003). The study of the representative systems of schoolchildren. Pedagogy and Psychology, 1, 11–18

    Google Scholar 

  • Nasritdinova, M. (2021). Pedagogical components and stages of health of develop children through music education. Galaxy International Interdisciplinary Research Journal, 9(5), 251–258. https://doi.org/10.17605/OSF.IO/9UQ2D

    Article  Google Scholar 

  • Pachet, F., & Addessi, A. R. (2004). When children reflect on their own playing style: experiments with continuator and children. Computers in Entertainment (CIE), 2(1), 14. https://doi.org/10.1145/973801.973824

    Article  Google Scholar 

  • Parasiz, G. (2018). The use of music technologies in field education courses and daily lives of music education department students (Sample of Atatürk University). Universal Journal of Educational Research, 6(5), 1005–1014. https://doi.org/10.13189/ujer.2018.060521

    Article  Google Scholar 

  • Rags, Y. N. (2003). Prospects for the development of the information technology course in music schools. In Modern music education, 2003: Proceedings of the International scientific and practical conference, October 9–11, 200, (pp. 200–203). SPb.: Publishing house of Herzen University

  • Ramírez, R., Canepa, C., Ghisio, S., Kolykhalova, K., Mancini, M., Volta, E., & Williamon, A. (2018). Enhancing music learning with smart technologies. In Proceedings of the 5th International Conference on Movement and Computing (pp. 1–4). MOCO`18

  • Shaw, G. L. (2003). Keeping Mozart in mind. Elsevier

  • Smaragdis, P., & Casey, M. (2003). Audio/visual independent components. In Proceedings of the 4th International Symposium on Independent Components Analysis and Blind Signal Separation, Nara, Japan, 2003 (pp. 709–714). Mitsubishi Electric Research Laboratories, Inc

  • Smaragdis, P., Raj, B., & Shashanka, M. (2006). A probabilistic latent variable model for acoustic modeling. In Proceedings of the 20th Annual Conference on Neural Information Processing Systems (pp. 1–7). NIPS

  • Tan, P. (2021). Information and communication technologies and their role in the organization of music education in China. In VSU repository (pp. 282–284). https://rep.vsu.by/bitstream/123456789/27633/1/282-284.pdf

  • Teplov, B. M. (1985). Psychology of musical abilities. Moscow: Pedagogika

    Google Scholar 

  • Voronov, A. M., Gorbunova, I. B., Kameris, A., & Romanenko, M. Y. (2013). Musical and computer technologies in the school of the digital age. Bulletin of the Irkutsk State Technical University: Scientific Journal, 5(76), 256–261

    Google Scholar 

  • Waddel, G., & Williamson, A. (2019). Technology use and attitudes in music learning. Frontiers ICT, 6, 11. https://doi.org/10.3389/fict.2019.00011

    Article  Google Scholar 

  • Welch, G. F. (2021). The challenge of ensuring effective early years music education by non-specialists. Early Child Development and Care, 191(12), 1972–1984. https://doi.org/10.1080/03004430.2020.1792895

    Article  Google Scholar 

  • Wen, Z., Shankar, A., & Antonidoss, A. (2021). Modern art education and teaching based on artificial intelligence. Journal of Interconnection Networks, 1, 2141005. https://doi.org/10.1142/s021926592141005x

    Article  Google Scholar 

Download references

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

  1. Department of Music, Lishui Vocational and Technical College, Lishui, China

    Ling Lyu

  2. Art Department, H.S. Skovoroda Kharkiv National Pedagogical University, Kharkiv, Ukraine

    Alla Sokolova

Authors
  1. Ling Lyu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alla Sokolova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ling Lyu.

Ethics declarations

Conflict of interest

This research has no conflict of interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lyu, L., Sokolova, A. The effect of using digital technology in the music education of elementary school students. Educ Inf Technol 28, 4003–4016 (2023). https://doi.org/10.1007/s10639-022-11334-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-022-11334-8

Keywords

Search

Navigation