The Learning Feature of Deep Knowledge and Its Relationship With Exercise

Ming Hung Lin, Mei Hua Huang and Wan Chun Hsiung

SAGE Open, 2014, vol. 4, issue 2, 2158244014535415

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.

Keywords: educational research; education; social sciences; education theory and practice; general education; educational measurement and assessment; students (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/2158244014535415 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:4:y:2014:i:2:p:2158244014535415

DOI: 10.1177/2158244014535415

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().