Presentation Schedule
Visualising Themes in Music Education Research: The Nexus of AI, Technology, and Human Interpretation (95189)
Session: On Demand
Room: Virtual Video Presentation
Presentation Type:Virtual Presentation
As artificial intelligence (AI) reshapes research methodologies, music education researchers are increasingly exploring digital tools for qualitative analysis. This presentation investigates the use of word clouds—an AI-enhanced feature of Computer-Assisted Qualitative Data Analysis Software (CAQDAS) such as ATLAS.tiTM23 —to visualise emerging coding themes in music education research. The study highlights how word clouds can identify patterns, improve data accessibility, and foster researcher engagement. While often dismissed as non-interpretive and unsuitable for authentic qualitative inquiry, this presentation argues that, when used critically, word clouds can complement human interpretation rather than replace it. The synergy between AI-driven text processing and the nuanced understanding of researchers allows for a balanced, reflective approach. However, limitations remain, including concerns around contextual sensitivity and algorithmic bias. By acknowledging both the strengths and limitations of AI-supported tools like word clouds, this study contributes to ongoing debates about the ethical and methodological implications of integrating technology in qualitative music education research.
Authors:
Ronella van Rensburg, University of Pretoria, South Africa
About the Presenter(s)
Dr Ronella van Rensburg is a Independent Scholar at University of Pretoria in South Africa
Connect on Linkedin
https://www.linkedin.com/in/dr-ronella-jansen-van-rensburg-a644359b/
Connect on ResearchGate
https://www.researchgate.net/profile/Ronella-Van-Rensburg-2?ev=hdr_xprf
See this presentation on the full schedule – On Demand Schedule
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