Developing a Structural Model for Lifelong Music Learning Intention Among Chinese University Students

Wen jun Zheng () and Yoon Fah Lay ()
Additional contact information
Wen jun Zheng: UCSI University
Yoon Fah Lay: UCSI University

A chapter in Board Diversity and Corporate Governance, 2024, pp 381-393 from Springer

Abstract: Abstract Lifelong music learning is the key to the sustainable development of music education. Understanding students’ behavioral intention in lifelong music learning becomes a foundation for realizing students’ participation in lifelong music learning. University students’ lifelong music learning intentions are related to “past behavior,” “high-demanding parenting style,” “attitude,” “subjective norm,” and “perceived behavioral control.” This study is based on two theories, the theory of planned behavior and the parenting style theory, to propose a structural model for predicting Chinese university students’ behavior intention in lifelong music learning. Future research will employ quantitative methods and analyze this structural model using PLS-SEM. The results of this study are anticipated to benefit policymakers, educators, parents, and students.

Keywords: Lifelong music learning; Theory of planned behavior; Parenting style theory; University students (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:csrchp:978-3-031-53877-3_29

Ordering information: This item can be ordered from
http://www.springer.com/9783031538773

DOI: 10.1007/978-3-031-53877-3_29

Access Statistics for this chapter

More chapters in CSR, Sustainability, Ethics & Governance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().