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Enhancing Vocational Graduate Employability through Mobile Application on Advanced Quantitative Modeling of Skills and Partnerships

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Title: Enhancing Vocational Graduate Employability through Mobile Application on Advanced Quantitative Modeling of Skills and Partnerships
Language: English
Authors: Yang Wang (ORCID 0009-0000-3789-7964), Thosporn Sangsawang (ORCID 0000-0002-7926-6949)
Source: Turkish Online Journal of Educational Technology - TOJET. 2026 25(1):92-102.
Availability: Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: https://tojet.net/
Peer Reviewed: Y
Page Count: 11
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, Employment Potential, Career and Technical Education, College Students, Handheld Devices, Computer Oriented Programs, Job Skills, Soft Skills, Education Work Relationship, Career Guidance, Technological Literacy, Influences
Geographic Terms: China
ISSN: 1303-6521
2146-7242
Abstract: This study investigates the multidimensional factors influencing employability among vocational students in China by applying an advanced quantitative framework. Data were collected from 17 experts, 100 faculty members, and 30 students, and analyzed using a sequential process of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). EFA extracted six constructs-Professional Skills, Soft Skills, Career Guidance, Industry-Academia Collaboration, Technological Literacy, and Employability Outcomes-explaining 72.6% of total variance. CFA confirmed measurement validity and reliability (Cronbach's [alpha] > 0.80; CR > 0.84; AVE > 0.50; HTMT < 0.85). SEM results demonstrated that all hypothesized relationships were supported, with Soft Skills ([beta] = 0.35) identified as the strongest predictor of employability, followed by Professional Skills ([beta] = 0.29), Technological Literacy ([beta] = 0.24), Industry-Academia Collaboration ([beta] = 0.21), and Career Guidance ([beta] = 0.18). Mediation analysis revealed that Career Guidance indirectly influenced employability through Soft Skills ([beta] = 0.12, p < 0.01), while moderation analysis confirmed that Industry-Academia Collaboration enhanced the effect of Professional Skills on employability ([beta] = 0.09, p < 0.05). The structural model accounted for 68% of variance (R[superscript 2] = 0.68) in employability outcomes, demonstrating strong explanatory power. The novelty of this research lies in integrating mediation and moderation mechanisms within a validated employability model, moving beyond traditional exploratory methods. Conceptually, the findings highlighted the centrality of Soft Skills in determining employability, challenging the dominance of technical training in vocational education. Practically, the study provides evidence-based recommendations for balancing technical and soft skill training, strengthening career guidance services, and deepening industry-academia partnerships to enhance graduate competitiveness in dynamic labor markets through a Mobile Application on Advanced Quantitative Modeling of Skills and Partnerships.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1497771
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Enhancing Vocational Graduate Employability through Mobile Application on Advanced Quantitative Modeling of Skills and Partnerships
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang+Wang%22&quot;&gt;Yang Wang&lt;/searchLink&gt; (ORCID &lt;externalLink term=&quot;https://orcid.org/0009-0000-3789-7964&quot;&gt;0009-0000-3789-7964&lt;/externalLink&gt;)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Thosporn+Sangsawang%22&quot;&gt;Thosporn Sangsawang&lt;/searchLink&gt; (ORCID &lt;externalLink term=&quot;https://orcid.org/0000-0002-7926-6949&quot;&gt;0000-0002-7926-6949&lt;/externalLink&gt;)
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  Data: &lt;searchLink fieldCode=&quot;SO&quot; term=&quot;%22Turkish+Online+Journal+of+Educational+Technology+-+TOJET%22&quot;&gt;&lt;i&gt;Turkish Online Journal of Educational Technology - TOJET&lt;/i&gt;&lt;/searchLink&gt;. 2026 25(1):92-102.
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  Data: Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: https://tojet.net/
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates the multidimensional factors influencing employability among vocational students in China by applying an advanced quantitative framework. Data were collected from 17 experts, 100 faculty members, and 30 students, and analyzed using a sequential process of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). EFA extracted six constructs-Professional Skills, Soft Skills, Career Guidance, Industry-Academia Collaboration, Technological Literacy, and Employability Outcomes-explaining 72.6% of total variance. CFA confirmed measurement validity and reliability (Cronbach&#39;s [alpha] &gt; 0.80; CR &gt; 0.84; AVE &gt; 0.50; HTMT &lt; 0.85). SEM results demonstrated that all hypothesized relationships were supported, with Soft Skills ([beta] = 0.35) identified as the strongest predictor of employability, followed by Professional Skills ([beta] = 0.29), Technological Literacy ([beta] = 0.24), Industry-Academia Collaboration ([beta] = 0.21), and Career Guidance ([beta] = 0.18). Mediation analysis revealed that Career Guidance indirectly influenced employability through Soft Skills ([beta] = 0.12, p &lt; 0.01), while moderation analysis confirmed that Industry-Academia Collaboration enhanced the effect of Professional Skills on employability ([beta] = 0.09, p &lt; 0.05). The structural model accounted for 68% of variance (R[superscript 2] = 0.68) in employability outcomes, demonstrating strong explanatory power. The novelty of this research lies in integrating mediation and moderation mechanisms within a validated employability model, moving beyond traditional exploratory methods. Conceptually, the findings highlighted the centrality of Soft Skills in determining employability, challenging the dominance of technical training in vocational education. Practically, the study provides evidence-based recommendations for balancing technical and soft skill training, strengthening career guidance services, and deepening industry-academia partnerships to enhance graduate competitiveness in dynamic labor markets through a Mobile Application on Advanced Quantitative Modeling of Skills and Partnerships.
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  Data: EJ1497771
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1497771
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 92
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Employment Potential
        Type: general
      – SubjectFull: Career and Technical Education
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Handheld Devices
        Type: general
      – SubjectFull: Computer Oriented Programs
        Type: general
      – SubjectFull: Job Skills
        Type: general
      – SubjectFull: Soft Skills
        Type: general
      – SubjectFull: Education Work Relationship
        Type: general
      – SubjectFull: Career Guidance
        Type: general
      – SubjectFull: Technological Literacy
        Type: general
      – SubjectFull: Influences
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Enhancing Vocational Graduate Employability through Mobile Application on Advanced Quantitative Modeling of Skills and Partnerships
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              Y: 2026
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