The influence of deep learning model on musicality and character through Dolanan songs

Astuti, K. S. and Widyastuti, M. G. and Silaen, H. T. (2019) The influence of deep learning model on musicality and character through Dolanan songs. In: 21st Century Innovation in Music Education. Routledge, London, pp. 73-85. ISBN 9780429024931

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Abstract

Deep learning is a learning model that provides experiences for students to master the subject matter in depth by examining problems up to the level of value. The researcher developed a deep learning model with the subject matter of dolanan anak (children’s games) songs. This needs to be done because learning,, has only reached the level of knowing and understanding without reaching the level of living experience. The research method is quasi-experimental . The study was conducted at the Elementary School Kranggan Temanggung, Central Java, Indonesia. Data analysis used MANOVA and the results of the analysis obtained Wilks’ Lamda values ​​in sig 0.00 (below 0.05) which showed a positive and significant difference between musicality and character abilities in the pretest and posttest. Thus, it can be said that deep learning with dolanan anak material can improve the musicality and character of students.

Item Type: Book Section
Subjects: Seni dan Budaya > Seni Musik
Divisions: Fakultas Bahasa, Seni dan Budaya (FBSB) > Pendidikan Seni Musik
Depositing User: Sarwo Hadi ꦱꦼꦠꦾꦤ
Date Deposited: 24 Jan 2022 06:23
Last Modified: 24 Jan 2022 06:23
URI: http://eprints.uny.ac.id/id/eprint/71952

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