A Heuristic Model for Improving Physical Education in the Higher Education System
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| Title: | A Heuristic Model for Improving Physical Education in the Higher Education System |
|---|---|
| Language: | English |
| Authors: | Jingwei Wen (ORCID |
| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1497837 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Heuristic Model for Improving Physical Education in the Higher Education System – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au 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>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22European+Journal+of+Education%22"><i>European Journal of Education</i></searchLink>. 2026 61(1). – Name: Avail Label: Availability Group: Avail 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 – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Evaluative – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su 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> – Name: DOI Label: DOI Group: ID Data: 10.1111/ejed.70383 – Name: ISSN Label: ISSN Group: ISSN Data: 0141-8211<br />1465-3435 – Name: Abstract Label: Abstract Group: Ab 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%. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1497837 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1497837 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/ejed.70383 Languages: – Text: English PhysicalDescription: Pagination: 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) Type: general Titles: – TitleFull: A Heuristic Model for Improving Physical Education in the Higher Education System Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jingwei Wen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0141-8211 – Type: issn-electronic Value: 1465-3435 Numbering: – Type: volume Value: 61 – Type: issue Value: 1 Titles: – TitleFull: European Journal of Education Type: main |
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