Title: Interactive teaching practice of music classroom based on human-computer interaction situation
Authors: Yaqiong Guo; Lujing Zheng
Addresses: College of Art, Zhengzhou Shengda University, Zhengzhou 451191, Henan, China ' Faculty of Creative Design, City University, Petaling Jaya, Selangor 46100, Malaysia
Abstract: Interactive teaching practices improve the understandability of lessons and subjects through audio-visual representations with human-computer interaction (HCI) serving as a foundational enabler. In particular, voice-assisted interfaces facilitate natural, hands-free information exchange between students and digital systems, allowing real-time feedback, note recognition, and adaptive instruction in music classrooms. This teaching is backboned with human-computer interactions for touch and voice-assisted interfaces for information exchange. In this article, an itinerary interaction module for note procedures (IIM-NP) in music classrooms is designed for improving the understandability and applications of music notes. This method first stores voluptuous musical notes for introduction, understanding, and application of tones. The stored notes are filtered based on the student's understandability aiding ease of teaching. In the processing phase, the understandable and hard note teaching practices are differentiated for which itinerary interactions are planned. This planning relies on teaching recommendations as provided by the state learning. The understandable and hard note teaching interactions are transited based on the itinerary steps pursued. In the transition changes, the understandability level serves as the reward factor from which the procedures are simplified or improved for further interactions. The different transitions balance the understandability levels of students of different ages and learning abilities.
Keywords: human-computer interaction; HCI; interactive teaching; music classroom; state learning.
DOI: 10.1504/IJCEELL.2026.153592
International Journal of Continuing Engineering Education and Life-Long Learning, 2026 Vol.36 No.9, pp.81 - 100
Received: 14 Aug 2025
Accepted: 08 Dec 2025
Published online: 18 May 2026 *


