ARTICLE
TITLE

Rule-based Interactive Learning Application Model on How to Play Music Instruments

SUMMARY

This research aims to develop an interactive application to support people learning to play music instruments of orchestra music. Gamelan, a traditional music orchestra from Java, Indonesia was used as the object study. A model of gamelan orchestra learning application was proposed to support an easy way to learn how to play gamelan music instruments. Rule-based method was used to develop an interactive system to learn gamelan music instru-ments. The system was implemented into an application which supports us-ers in independently learning to play orchestra music instruments, especially in remembering notes sequences and playing the note according to the tem-po. An experiment involving two groups consisted of control and treatment groups were conducted to evaluate the proposed learning model. The results shows that the averages skill value of the members of the treatment group were higher than the members of the control group.

PAGES
pp. pp. 52 - 63
COLLECTIONS
Education
Technology

 Articles related

Artem V. Korkishko, ?lena H. ??rkishko, Svetlana ?. Sayapina    

The article is devoted to the issue on applying intelligence maps in the educational process of higher school. In the article intelligence maps are considered as the interactive means of systematisation of knowledge on forming a professional image of mas... see more


Ahmed Adeeb Jalal    

Technology world has greatly evolved over the past decades, which led to inflated data volume. This progress of technology in the digital form generated scattered texts across millions of web pages. Unstructured texts contain a vast amount of textual dat... see more


Wilda Syahri, Yusnaidar, Epinur    

Berdasarkan kurikulum Program Studi Pendidikan Kimia FKIP Universitas Jambi, mata kuliah Kimia Fisika II, merupakan salah satu mata kuliah yang tergabung dalam kelompok Mata Kuliah Keilmuan dan Keahlian (MKK). Dengan demikian keberadaan pokok bahasan dal... see more


Feng Wang, Wenwen Li, Sizhe Wang and Chris R. Johnson    

Understanding atmospheric phenomena involves analysis of large-scale spatiotemporal multivariate data. The complexity and heterogeneity of such data pose a significant challenge in discovering and understanding the association between multiple climate va... see more


Xiaoying Shi, Zhenhai Yu, Qiming Fang and Quan Zhou    

Information concerning the home and workplace of residents is the basis of analyzing the urban job-housing spatial relationship. Traditional methods conduct time-consuming user surveys to obtain personal job and housing location information. Some new met... see more