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dc.contributor.authorHuang, Chih-Fangen_US
dc.contributor.authorNien, Wei-Poen_US
dc.contributor.authorYeh, Yun-Shengen_US
dc.date.accessioned2015-07-21T08:29:28Z-
dc.date.available2015-07-21T08:29:28Z-
dc.date.issued2015-04-01en_US
dc.identifier.issn0360-1315en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.compedu.2015.01.003en_US
dc.identifier.urihttp://hdl.handle.net/11536/124492-
dc.description.abstractThe paper is mainly to explore the automated music composition experiences for the students in the high grades of elementary school who are unfamiliar with the professional music theory. The proposed Automated Composition for Music Education (ACME) software was developed to help the students to compose the rhythm and melody themselves, while chord configuration and arrangement are automatically generated. Subsequently, sixth-year students of a non-experimental school were recruited to use the software for the completion of its development. Analysis of learning effectiveness at the reaction level, analysis of learning-level learning effectiveness, correlation analysis of the reaction- and learning-levels learning effectiveness has been performed with a significant result. The correlations between each component of learning effectiveness at the reaction and learning levels were also found. Finally the students in the experimental group using the ACME teaching materials showed a better learning effectiveness at both reaction level and learning level, than those of the students in the comparison group. (C) 2015 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectAutomated music compositionen_US
dc.subjectHigh grades of elementary schoolen_US
dc.subjectMusic educationen_US
dc.subjectLearning effectivenessen_US
dc.titleLearning effectiveness of applying automated music composition software in the high grades of elementary schoolen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.compedu.2015.01.003en_US
dc.identifier.journalCOMPUTERS & EDUCATIONen_US
dc.citation.volume83en_US
dc.citation.spage74en_US
dc.citation.epage89en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000350186400008en_US
dc.citation.woscount0en_US
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