Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Technology use in high school aural skills instruction

Bibliographic Data

ID21489999
AuthorsNathan O Buonviri (0000-0002-4585-702X, Temple University, corresponding author), Andrew S Paney (0000-0003-3068-5445, University of Mississippi)
Year2020
Volume38
Issue3
Pages431-440
Publication date2020-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Music Education (JOURNAL)
Journal identifiersISSN: 0255-7614 • E-ISSN: 1744-795X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0255761420909917
OpenAlexW3009988917
LanguageEN
Citations received4
References cited22

In this study, we investigated the use of digital technology for aural skills instruction in Advanced Placement Music Theory (APMT) classes in the United States. Our research questions focused on which technologies teachers use for aural skills, how they incorporate them, and what influences their decisions to use them. We created, piloted, and distributed a survey electronically to a stratified sample by state of 866 instructors. Participants who completed the survey ( N = 317, response rate = 36%) were current APMT teachers representing 48 states. Of the 91% of respondents who used digital technologies for teaching aural skills, 93% used websites, 47% used software programs, and 38% used mobile apps. Participants incorporated technology for student practice outside class (93%) and during class (78%), and to present new material during class (55%). Of those who did not use technologies ( n = 29), 41% cited lack of funds and 34% cited lack of class time. Participants noted that technology can provide extra practice for students and customization for their needs, but that students’ lack of access and limitations of the programs may temper these benefits. Implications for pedagogical practice and music teacher training are discussed

Mathematics education · Medical education · Music education · Pedagogy · Personalization · Computer Science · Diverse Music Education Insights · Education and Technology Integration · Medicine · Neuroscience and Music Perception · Psychology

  • Multi-sensory research of singing visualization in pre-school music education

    Xiaoxing Zhang, Zhang Xiao-xing•Interactive Learning Environments•2023

  • Relative salience of chord-type and chord-voicing changes

    Open Access•Ivan Jimenez, Tuire Kuusi et al.•Psychology of Music•2022

  • What Drives Technology Adoption in Music Education? A UTAUT2-Based Qualitative Study of Music Teachers in Fujian, China

    Open Access•Xiangming Zhang, Zhang Xiang-ming•International Journal of Music…•2025

  • The Role of AI and Voice-Activated Technology in Religious Education in China

    Open Access•Ning Wang, Meng Kang•Journal of Religion and Health•2025

  • Basics of qualitative research

    Anselm Strauss, Juliet Corbin et al.•Basics of qualitative research•2008

  • Exploring teachers’ perceived self efficacy and technological pedagogical content knowledge with respect to educational use of the World Wide Web

    Open Access•Min‐hsien Lee, Min-Hsien Lee et al.•Instructional Science•2008

  • Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education

    Open Access•Vehbi Çelik, Etem Yeşilyurt•Computers & Education•2012

  • The State of Music in Secondary Schools

    Open Access•Carlos R Abril, Brent M Gault•Journal of Research in Music…•2008

  • Melodic Dictation Instruction

    Open Access•Nathan O Buonviri, Andrew S Paney•Journal of Research in Music…•2015

  • Transforming Music Teaching via Technology

    Open Access•William I Bauer, Sam Reese et al.•Journal of Research in Music…•2003

  • Hybrid spaces and hyphenated musicians

    Evan S Tobias•Music Education Research•2012

Unique citing works4
Citations per year1
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae