A Heuristic Model for Improving Physical Education in the Higher Education System

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Bibliographic Details
Title: A Heuristic Model for Improving Physical Education in the Higher Education System
Language: English
Authors: Jingwei Wen (ORCID 0009-0009-0196-6580)
Source: European Journal of Education. 2026 61(1).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 14
Publication Date: 2026
Document Type: Journal Articles
Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Physical Education, Higher Education, Educational Improvement, Health Promotion, Affordances, Barriers, Physical Activity Level, Well Being, Emotional Response, Physical Fitness, Fatigue (Biology)
DOI: 10.1111/ejed.70383
ISSN: 0141-8211
1465-3435
Abstract: This article presents a heuristic model for improving physical education in the higher education system. Recently, physical education is included as one of the school subjects that includes various physical activities. The main aim of physical education is to improve the stability of the children both physically and emotionally. This paper accords a new model called Heuristic Dynamic Adaptation (HDA) Model for improving physical education. We present the attributes of physical education in the higher education system. A novel algorithm for the generation of Heuristic Dynamic updating Index ("HDUI") is being proposed. The challenges and benefits of the proposed HDA model are being discussed in this paper. In addition, statistical features of physical activity indicators are analysed before and after HDA modelling. The variation of well-being score, activity score, mood score, fitness score, and fatigue score are compared for different performance metrics like Ruffier rate index, Shtange rate index, Flexion rate index, and HDUI. It was observed that the proposed HDUI produces robust results with an average well-being score of 84.08%, activity score of 83.33%, and mood score of 89.25%.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1497837
Database: ERIC
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  Data: A Heuristic Model for Improving Physical Education in the Higher Education System
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  Data: <searchLink fieldCode="AR" term="%22Jingwei+Wen%22">Jingwei Wen</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0009-0196-6580">0009-0009-0196-6580</externalLink>)
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Physical+Education%22">Physical Education</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Improvement%22">Educational Improvement</searchLink><br /><searchLink fieldCode="DE" term="%22Health+Promotion%22">Health Promotion</searchLink><br /><searchLink fieldCode="DE" term="%22Affordances%22">Affordances</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Activity+Level%22">Physical Activity Level</searchLink><br /><searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+Response%22">Emotional Response</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Fitness%22">Physical Fitness</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+%28Biology%29%22">Fatigue (Biology)</searchLink>
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  Data: 10.1111/ejed.70383
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  Data: This article presents a heuristic model for improving physical education in the higher education system. Recently, physical education is included as one of the school subjects that includes various physical activities. The main aim of physical education is to improve the stability of the children both physically and emotionally. This paper accords a new model called Heuristic Dynamic Adaptation (HDA) Model for improving physical education. We present the attributes of physical education in the higher education system. A novel algorithm for the generation of Heuristic Dynamic updating Index ("HDUI") is being proposed. The challenges and benefits of the proposed HDA model are being discussed in this paper. In addition, statistical features of physical activity indicators are analysed before and after HDA modelling. The variation of well-being score, activity score, mood score, fitness score, and fatigue score are compared for different performance metrics like Ruffier rate index, Shtange rate index, Flexion rate index, and HDUI. It was observed that the proposed HDUI produces robust results with an average well-being score of 84.08%, activity score of 83.33%, and mood score of 89.25%.
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      – Text: English
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        PageCount: 14
    Subjects:
      – SubjectFull: Physical Education
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Educational Improvement
        Type: general
      – SubjectFull: Health Promotion
        Type: general
      – SubjectFull: Affordances
        Type: general
      – SubjectFull: Barriers
        Type: general
      – SubjectFull: Physical Activity Level
        Type: general
      – SubjectFull: Well Being
        Type: general
      – SubjectFull: Emotional Response
        Type: general
      – SubjectFull: Physical Fitness
        Type: general
      – SubjectFull: Fatigue (Biology)
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      – TitleFull: A Heuristic Model for Improving Physical Education in the Higher Education System
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