Sep 2026· International Journal of Knowledge Management· 0 citations· 21 references
Diverse Music Education Insights
Abstract
Aiming at the problem of non-music majors in college failing to convert abstract musical auditory information into stable aesthetic knowledge, this study constructs a framework for music teaching knowledge management. It establishes parametric coding rules to translate six core musical elements into standardized visual prompt knowledge and develops a full-process dynamic evaluation system to measure students' knowledge absorption, discussion participation, and knowledge migration. Taking Schubert's “The Devil” as a typical teaching knowledge carrier, three rounds of prompt iteration experiments optimize the matching between visual knowledge carriers and musical narrative knowledge nodes. Empirical results prove this knowledge governance framework reduces learners' cognitive burden, improves the internalization and long-term retention of music aesthetic knowledge, and clarifies the application boundary of intelligent knowledge tools. This research provides quantitative management standards for the whole-cycle production, iteration, and evaluation of music teaching knowledge.
Traditional art teaching evaluation, relying on subjective judgment and uniform criteria, fails to support individualized learning. Grounded in knowledge management principles, this study develops a knowledge-driven, multi-agent framework for art teaching evaluation that integrates multiple data sources, diagnostic, fo...
Wan-Qi Zheng· International Journal of Kno...· 0 citations
MusGU+ is introduced, a musician-centered evaluation framework organized around three dimensions: Adaptability, Usability, and Controllability that supports informed selection and practical adoption of generative systems by musicians.
Laura Ibáñez-Martínez, Roser Batlle-Roca, Xavier Serra et al.· 1 citation
The ongoing digital shift in academic environments requires a fundamental revision of traditional instructional frameworks in Slavic philology, particularly in how complex linguistic structure, phonetic nuance, and stylistic textual analysis are conveyed to university students. This paper presents a specialised pedagog...
D. Teriaiev· Global Spectrum of Research...· 0 citations
Artificial intelligence offers new resources for image generation, feedback, and lesson preparation in high school art education, while also raising questions about the purposes and processes of artistic learning. Focusing on this teaching context, this paper discusses potential risks and corresponding educational resp...
Hong-Ying Liu· Journal of Education, Humani...· 0 citations
The rapid proliferation of generative artificial intelligence is fundamentally reshaping higher education, challenging the traditional lecture-based, knowledge-transmission model of classroom instruction. This paper offers a reflective analysis based on the author's first-hand teaching experience at a Chinese universit...
Wu-Zeng Wang· Journal of Education Teachin...· 0 citations
To address the problems of homogenized content, delayed feedback, and insufficient alignment between teaching content and student interests in music aesthetic education, this study presents a data-driven framework for curriculum content optimization. The framework integrates multi-source student data and applies K-mean...
Yu Zhang· Journal of Cases on Informat...· 0 citations
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