Article: Transfer learning-based adaptive music teaching system for modulating students' emotions Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.6 pp.66 - 89 Abstract: With the widespread application of artificial intelligence technology in the field of education, how to achieve emotion recognition and personalised regulation within the teaching process has become a significant research focus for intelligent teaching systems. This research provides an adaptive music teaching system solution based on transfer learning to address the constraints of traditional music education in emotional perception and delayed feedback. In this framework, learners' multimodal signals are initially acquired synchronously; later, transfer learning is utilised to facilitate emotion recognition and cross-domain feature transfer; ultimately, the system achieves synchronous optimisation of emotional regulation and learning performance. The proposed system shows improvements of 12.4%, 19.1%, 20.3%, and 17.4% in learning performance, engagement, emotional stability, and user satisfaction, respectively, when compared to traditional teaching techniques. This offers innovative theoretical frameworks and technological assistance for the development of emotion-driven intelligent educational systems. Inderscience Publishers - linking academia, business and industry through research

Title: Transfer learning-based adaptive music teaching system for modulating students' emotions

Authors: Mu Li

Addresses: College of Music and Communication, Anyang University, Anyang, 455000, China

Abstract: With the widespread application of artificial intelligence technology in the field of education, how to achieve emotion recognition and personalised regulation within the teaching process has become a significant research focus for intelligent teaching systems. This research provides an adaptive music teaching system solution based on transfer learning to address the constraints of traditional music education in emotional perception and delayed feedback. In this framework, learners' multimodal signals are initially acquired synchronously; later, transfer learning is utilised to facilitate emotion recognition and cross-domain feature transfer; ultimately, the system achieves synchronous optimisation of emotional regulation and learning performance. The proposed system shows improvements of 12.4%, 19.1%, 20.3%, and 17.4% in learning performance, engagement, emotional stability, and user satisfaction, respectively, when compared to traditional teaching techniques. This offers innovative theoretical frameworks and technological assistance for the development of emotion-driven intelligent educational systems.

Keywords: TL; adaptive music teaching system; emotion recognition; intelligent education.

DOI: 10.1504/IJICT.2026.151558

International Journal of Information and Communication Technology, 2026 Vol.27 No.6, pp.66 - 89

Received: 22 Oct 2025
Accepted: 17 Nov 2025
Published online: 06 Feb 2026 *

Title: Transfer learning-based adaptive music teaching system for modulating students' emotions

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