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The Learning Feature of Deep Knowledge and Its Relationship With Exercise

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Listed:
  • Ming Hung Lin
  • Mei Hua Huang
  • Wan Chun Hsiung

Abstract

Nine Principles for Deep Knowledge of Habitual Domains (HDs) have been identified as an effective approach to expanding and enriching an individual’s HD, or in a broader sense, to improving learning. The purpose of this study was to examine the Principle for Deep Knowledge Survey (PDKS) and the correlations between the PDKS and other individual variables, such as gender, body mass index (BMI), and exercise routines. Seven hundred eighty-five industrial high school students completed the questionnaire. Overall, the results suggested that the psychometric properties of the PDKS were acceptable and also showed a significant relationship between gender and the Principles of Contrasting and Complementing and Cracking and Ripping. In addition, the Principles of Alternating, Changing and Transforming, and Void had a positive correlation with the variable of frequency of exercise. The results showed that exercise could be a mediator in expanding the competence of deep knowledge to improve learning.

Suggested Citation

  • Ming Hung Lin & Mei Hua Huang & Wan Chun Hsiung, 2014. "The Learning Feature of Deep Knowledge and Its Relationship With Exercise," SAGE Open, , vol. 4(2), pages 21582440145, May.
    • Handle: RePEc:sae:sagope:v:4:y:2014:i:2:p:2158244014535415
    DOI: 10.1177/2158244014535415
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    References listed on IDEAS

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    1. Yen-Chu Chen & Hung-Shun Huang & Po-Lung Yu, 2012. "Empower Mcdm By Habitual Domains To Solve Challenging Problems In Changeable Spaces," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 457-490.
    2. P. L. Yu, 2006. "Working Knowledge Mining By Principles For Deep Knowledge," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 729-738.
    3. P. L. Yu & C. I. Chiang, 2002. "Decision Making, Habitual Domains And Information Technology," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 5-26.
    4. Chieh Yow Chianglin & Tsung Chih Lai & Po Lung Yu, 2007. "Linear Programming Models With Changeable Parameters — Theoretical Analysis On "Taking Loss At The Ordering Time And Making Profit At The Delivery Time"," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 577-598.
    5. P. L. Yu & C. Y. Chianglin, 2006. "Decision Traps And Competence Dynamics In Changeable Spaces," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 5-18.
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