Performative Education: Redesigning Learning through Music
Performance Practices
*1
Siti Nur Hajarul Aswad Shakeeb Arsalaan Bajunid,
2
Rizal Ezuan Zulkifly Tony
1,2
Faculty of Music, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
*Corresponding Author
DOI: https://dx.doi.org/10.47772/IJRISS.2025.925ILEIID000065
Received: 23 September 2025; Accepted: 30 September 2025; Published: 06 November 2025
ABSTRACT
This study explores how music performance methodologies, supported by digital and AI-assisted tools, can
transform learning spaces into dynamic, student-centred environments. Conducted in a tertiary music
education setting, the research utilized masterclasses and music workshops enhanced by digital platforms for
reflective documentation and AI-driven performance feedback. Those tools allowed students to track their
progress, analyze their interpretative choices, and engage in peer collaboration beyond the traditional
classroom. Findings reveal that integrating technology with performative methods significantly enhanced
active participation, fostered intercultural conversation, and encouraged deeper reflection compared to
traditional lecture-nased approaches. Students described the learning space as a hybrid “stage,” where digital
engagement and AI-supported insights enriched improvisation, conversation and embodied interaction. The
innovation of this study lies in merging performance pedagogy with educational technology, creating a
forward-looking learning model as an interactive, co-created process. This approach demonstrated practical
relevance to language and education innovation by cultivating adaptability, critical communication skills, and
cultural literacy in physical and digital contexts. Ultimately, the study highlights the potential of AI-assisted
performance practices to inspire inclusive, interdisciplinary, and technology-enhanced educational reform,
thereby preparing learners to succeed in a global, connected and digitally advanced world
Keywords: performative education, educational reform, AI-assisted learning, experiential learning, music
performance
INTRODUCTION
The integration of artificial intelligence into educational systems, especially in music performance, signifies a
substantial transformation in teaching methodologies, providing new potential to foster improved learning
settings.
The traditional educational models are often categorized by lecture-based instruction and passive learning.
These conventional approaches have limitations on the students’ engagement, critical thinking skills,
collaboration and adaptability skills for modern learners. Performative education in music is an approach
where musical teaching and learning are centred on the dynamic, live act of performance, encompassing not
just instrumental skill but also the creation of a shared, unique atmosphere between educator and student
through musical interaction. It goes beyond the study of the musical score, focusing on the "event" of music-
making as a way to foster learning, creativity, and the aesthetic experience, emphasizing the process and the
interaction within the musical moment. The current study addresses the gap by investigating how AI-driven
tools can be leveraged to transform music performance methodologies, thereby fostering dynamic, student-
centred learning environments that transcend conventional classroom limitations (Sánchez-Jara et al., 2024).
Specifically, this study explores the application of masterclasses and music workshops augmented by digital
platforms for reflective documentation and AI-driven feedback, enabling students to track their progress,
analyze interpretive choices, and engage in peer collaboration beyond the physical classroom (Sanganeria &
Gala, 2024) (Ma & Wang, 2025). This integration of technology with performative methods significantly