View in EDS

Analysing Factors Influencing Undergraduates' Adoption of Intelligent Physical Education Systems Using an Expanded TAM

Saved in:
Bibliographic Details
Title: Analysing Factors Influencing Undergraduates' Adoption of Intelligent Physical Education Systems Using an Expanded TAM
Language: English
Authors: Xu Li (ORCID 0000-0003-3069-2071), Wee Hoe Tan (ORCID 0000-0001-7582-2859), Yu Bin (ORCID 0000-0002-1886-1808), Peng Yang (ORCID 0000-0003-2213-6884), Qiancheng Yang (ORCID 0009-0009-7597-2174), Taukim Xu (ORCID 0000-0001-8223-9821)
Source: Education and Information Technologies. 2025 30(5):5755-5785.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 31
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Physical Education, Curriculum, Adoption (Ideas), Technology Uses in Education, Student Attitudes, Influence of Technology, Data Analysis, Physical Activities, Athletics, Health Behavior, Behavior Modification, Student Behavior, Use Studies, Technological Advancement, Artificial Intelligence, Self Efficacy, Knowledge Management, Sharing Behavior
DOI: 10.1007/s10639-024-13058-3
ISSN: 1360-2357
1573-7608
Abstract: Globally, physical education curricula are progressively integrating intelligent physical education systems, a breakthrough in physical technology. These systems utilise advanced data analytic and sensing technologies, significantly enhancing the interactivity and personalisation of physical activity, thus improving students' athletic performance and health management. However, existing literature primarily focuses on the technological implementation of intelligent physical education systems and lacks sufficient discussion on the behavioural motivations behind students' adoption of these systems. To address this study gap, this study designs a survey questionnaire based on the Technology Acceptance Model (TAM) and its six extended external variables: self-efficacy (SE), subjective norms (SN), technological complexity (TC), facilitating conditions (FC), knowledge acquisition (KA), and knowledge sharing (KS). This study aims to investigate the key factors that influence undergraduates' use of intelligent physical education systems, particularly in the context of rapid advancements in physical technology. The results indicate that ATU, PU, SE, and KS have direct effects on university students' BI to use intelligent physical education systems. Additionally, PEU, SN, KA, TC, and FC exert indirect effects on students' BI to engage with these systems. This study not only provides deep insights into the adoption factors of intelligent physical education systems for the academic community but also offers robust theoretical and practical support for the implementation of intelligent physical education systems in higher education institutions. Furthermore, the results will serve as a crucial reference for policymakers and educational technology developers, aiding them in better understanding and promoting the application and widespread adoption of intelligent physical education systems in higher education.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1465879
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1465879
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Analysing Factors Influencing Undergraduates' Adoption of Intelligent Physical Education Systems Using an Expanded TAM
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xu+Li%22">Xu Li</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-3069-2071">0000-0003-3069-2071</externalLink>)<br /><searchLink fieldCode="AR" term="%22Wee+Hoe+Tan%22">Wee Hoe Tan</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-7582-2859">0000-0001-7582-2859</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yu+Bin%22">Yu Bin</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-1886-1808">0000-0002-1886-1808</externalLink>)<br /><searchLink fieldCode="AR" term="%22Peng+Yang%22">Peng Yang</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-2213-6884">0000-0003-2213-6884</externalLink>)<br /><searchLink fieldCode="AR" term="%22Qiancheng+Yang%22">Qiancheng Yang</searchLink> (ORCID <externalLink term="http://orcid.org/0009-0009-7597-2174">0009-0009-7597-2174</externalLink>)<br /><searchLink fieldCode="AR" term="%22Taukim+Xu%22">Taukim Xu</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-8223-9821">0000-0001-8223-9821</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Education+and+Information+Technologies%22"><i>Education and Information Technologies</i></searchLink>. 2025 30(5):5755-5785.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 31
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– 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="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+Tutoring+Systems%22">Intelligent Tutoring Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Education%22">Physical Education</searchLink><br /><searchLink fieldCode="DE" term="%22Curriculum%22">Curriculum</searchLink><br /><searchLink fieldCode="DE" term="%22Adoption+%28Ideas%29%22">Adoption (Ideas)</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Activities%22">Physical Activities</searchLink><br /><searchLink fieldCode="DE" term="%22Athletics%22">Athletics</searchLink><br /><searchLink fieldCode="DE" term="%22Health+Behavior%22">Health Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+Modification%22">Behavior Modification</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Behavior%22">Student Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Use+Studies%22">Use Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Advancement%22">Technological Advancement</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Management%22">Knowledge Management</searchLink><br /><searchLink fieldCode="DE" term="%22Sharing+Behavior%22">Sharing Behavior</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1007/s10639-024-13058-3
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1360-2357<br />1573-7608
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Globally, physical education curricula are progressively integrating intelligent physical education systems, a breakthrough in physical technology. These systems utilise advanced data analytic and sensing technologies, significantly enhancing the interactivity and personalisation of physical activity, thus improving students' athletic performance and health management. However, existing literature primarily focuses on the technological implementation of intelligent physical education systems and lacks sufficient discussion on the behavioural motivations behind students' adoption of these systems. To address this study gap, this study designs a survey questionnaire based on the Technology Acceptance Model (TAM) and its six extended external variables: self-efficacy (SE), subjective norms (SN), technological complexity (TC), facilitating conditions (FC), knowledge acquisition (KA), and knowledge sharing (KS). This study aims to investigate the key factors that influence undergraduates' use of intelligent physical education systems, particularly in the context of rapid advancements in physical technology. The results indicate that ATU, PU, SE, and KS have direct effects on university students' BI to use intelligent physical education systems. Additionally, PEU, SN, KA, TC, and FC exert indirect effects on students' BI to engage with these systems. This study not only provides deep insights into the adoption factors of intelligent physical education systems for the academic community but also offers robust theoretical and practical support for the implementation of intelligent physical education systems in higher education institutions. Furthermore, the results will serve as a crucial reference for policymakers and educational technology developers, aiding them in better understanding and promoting the application and widespread adoption of intelligent physical education systems in higher education.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1465879
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1465879
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10639-024-13058-3
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 31
        StartPage: 5755
    Subjects:
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: Intelligent Tutoring Systems
        Type: general
      – SubjectFull: Physical Education
        Type: general
      – SubjectFull: Curriculum
        Type: general
      – SubjectFull: Adoption (Ideas)
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Influence of Technology
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Physical Activities
        Type: general
      – SubjectFull: Athletics
        Type: general
      – SubjectFull: Health Behavior
        Type: general
      – SubjectFull: Behavior Modification
        Type: general
      – SubjectFull: Student Behavior
        Type: general
      – SubjectFull: Use Studies
        Type: general
      – SubjectFull: Technological Advancement
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Self Efficacy
        Type: general
      – SubjectFull: Knowledge Management
        Type: general
      – SubjectFull: Sharing Behavior
        Type: general
    Titles:
      – TitleFull: Analysing Factors Influencing Undergraduates' Adoption of Intelligent Physical Education Systems Using an Expanded TAM
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xu Li
      – PersonEntity:
          Name:
            NameFull: Wee Hoe Tan
      – PersonEntity:
          Name:
            NameFull: Yu Bin
      – PersonEntity:
          Name:
            NameFull: Peng Yang
      – PersonEntity:
          Name:
            NameFull: Qiancheng Yang
      – PersonEntity:
          Name:
            NameFull: Taukim Xu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1360-2357
            – Type: issn-electronic
              Value: 1573-7608
          Numbering:
            – Type: volume
              Value: 30
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Education and Information Technologies
              Type: main
ResultId 1