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Use of Decision Trees to Evaluate the Impact of a Holistic Music Educational Approach on Children with Special Needs

Author

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  • Liza Lee

    (Department of Early Childhood Development and Education, Taichung 41349, Taiwan
    College of Humanities and Social Sciences, Chaoyang University of Technology, Taichung 41349, Taiwan)

  • Ying-Sing Liu

    (College of Humanities and Social Sciences, Chaoyang University of Technology, Taichung 41349, Taiwan)

Abstract

In this study, decision trees were used to develop a pre-assessment model to help ascertain the impact of music education on children with special needs. The focus of the study was the application of an educational curriculum for 16 weeks, five sessions of 40 min duration per week, using the Holistic Music Educational Approach for Young Children (HMEAYC). The pilot program was implemented with children with special needs to measure its learning effectiveness. The methodology proved a better indicator for improved learning and a better measure of learning effectiveness. Statistical tests confirmed significant improvements in the values of the learning evaluation indices measured by HMEAYC after its implementation in children with special needs, supporting the positive effect of the implementation of HMEAYC for Taiwan’s special needs young children. For children with better learning results, the accuracy of the decision tree model was 84.0% for in-sample and the sensitivity equaled 98.0%. The results support the future development of evaluation models through machine learning languages, pre-assessment of the effectiveness of the implementation of HMEAYC, and the use of continuous investment in educational resources to improve the efficiency of special early childhood education in resource consumption for sustainable development.

Suggested Citation

  • Liza Lee & Ying-Sing Liu, 2021. "Use of Decision Trees to Evaluate the Impact of a Holistic Music Educational Approach on Children with Special Needs," Sustainability, MDPI, vol. 13(3), pages 1-6, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1410-:d:489729
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    References listed on IDEAS

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    1. Sung-Shun Weng & Yang Liu & Juan Dai & Yen-Ching Chuang, 2020. "A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
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    Cited by:

    1. Ying-Sing Liu & Liza Lee, 2022. "Evaluation of college admissions: a decision tree guide to provide information for improvement," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    2. Liza Lee, 2023. "Expectations and Effectiveness of Preschool Teacher Training Program: A Case Study of Teacher Training Course for the Holistic Music Educational Approach for Young Children," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Liza Lee & Ying-Sing Liu, 2023. "The Learning Outcomes of Figurenotes Music Activities for Children With Special Needs Based on the ARMA Models," SAGE Open, , vol. 13(4), pages 21582440231, December.

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