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.
A knowledge-driven, multi-agent framework for art teaching evaluation that integrates multiple data sources, diagnostic, formative, and summative assessment phases, and a closed-loop feedback mechanism with dynamic weight adjustment is developed, converting behavioral data analytics into actionable pedagogical intellig...
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 study shows that adding multimedia and AI text tools to the curriculum helps students build stronger analytical skills, improve their pronunciation, and better understand writing styles – all while maintaining strict academic standards.
D. Teriaiev· Global Spectrum of Research...· 0 citations
It is argued that AI should support students’ creative agency and teachers’ educational judgement within a practice-based approach to art learning, with clear boundaries for AI use, continued emphasis on hands-on artistic practice, development of teachers’ digital literacy and professional judgement, and teaching that...
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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