Modelling of Music Learning Process Based on Knowledge Sharing

• Main Author: Yifeng Li
• Format: Article
• Language: English
• Published: Kassel University Press 2019-12-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Online Access: https://online-journals.org/index.php/i-jet/article/view/12257

In the Internet era, knowledge sharing makes learning more efficient and effective. Drawing on knowledge sharing theories, this paper firstly analyses the influencing factors of knowledge sharing in individual or enterprise. The analysis shows that, knowledge sharing is highly self-incentive, for shared knowledge is more active and more likely to be shared again; knowledge sharing on the Internet is affected by Internet technology, the location of the sharer, and the inner and outer incentive mechanisms. On this basis, the mu-sic learning process was modelled based on knowledge sharing, learning and innovation, and used to analyse the music learning process considering the correlation between knowledge sharing and knowledge innovation. The re-search findings lay a solid theoretical basis for music professionals and enthusiasts to improve their learning and skills.