Work

Exploring AI Applications in Beginner Erhu Instruction through Analysis of Key Instructional Difficulties

Year: 2025

Type: article

Abstract: This study investigates the primary challenges encountered in beginner Erhu instruction through a thematic analysis of current pedagogical literature. Using Braun and Clarke’s analytical framework, two overarching themes and their corresponding subthemes were identified: pitch accuracy and rhythmic stability. Within these themes, the review synthesizes factors contributing to intonation instability, common types of rhythmic errors, and associated targeted practice strategies, supported by relevant scholarship. Findings indicate that existing instructional approaches and practice programs remain largely grounded in traditional, teacher-centered paradigms, which may constrain learning effectiveness for many novices. Although conventional methods continue to form the core of Erhu pedagogy, the objective, measurable nature of pitch and rhythm difficulties underscores the potential value of artificial intelligence as a supplementary instructional tool. Overall, this study consolidates key instructional challenges and offers insights that can inform the development of more adaptive and technology-enhanced pedagogical frameworks.

Source: International Journal of Academic Research in Progressive Education and Development

DOI: 10.6007/ijarped/v14-i4/27039

Authors: Sha Yanlin, Yi-Li Chang, Zhang Shan Shan, Tang Tsiao Yin

Institutions: University of Malaya, Guangdong University of Foreign Studies, South China Business College Guangdong University of Foreign Studies, Sultan Idris Education University

Language: English

Topic: Diverse Music Education Insights

Subfield: Music

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4417123623