Graduate Skill Gaps in Applied Higher Education: A Triadic Analysis from a Work-Based Learning Perspective

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Bibliographic Details
Title: Graduate Skill Gaps in Applied Higher Education: A Triadic Analysis from a Work-Based Learning Perspective
Language: English
Authors: Thanh Phuong Nguyen (ORCID 0000-0003-1190-0103)
Source: Higher Education, Skills and Work-based Learning. 2026 16(3):677-692.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 16
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Work Based Learning, Employment Potential, Job Skills, College Faculty, Employers, Student Attitudes, Teacher Attitudes, Employer Attitudes, Soft Skills, Digital Literacy, Foreign Countries, Undergraduate Students
Geographic Terms: Vietnam
DOI: 10.1108/HESWBL-01-2026-0063
ISSN: 2042-3896
Abstract: Purpose: This paper investigates graduate skill gaps from a work-based learning (WBL) perspective by examining triadic differences in how students, lecturers and employers perceive employability skills in an applied university context. Design/methodology/approach: A convergent mixed-methods design was employed, integrating survey data from 537 stakeholders (341 students, 102 lecturers and 94 employers) with thematic analysis of qualitative responses. Findings: Significant misalignments exist: lecturers rated students' technical skills highest, while students overestimated their soft skills. While quantitative data showed no significant gap in digital skills, qualitative insights revealed a "digital-readiness paradox" where employers expressed deep concerns about graduates' ability to handle data-driven and AI-integrated workflows. Research limitations/implications: The study is limited to a single applied institution. Future research should involve longitudinal tracking of graduates to measure the actual performance-perception gap. Practical implications: Universities must shift from generic digital literacy to "AI-readiness" and strengthen WBL through industry-led simulations and authentic assessments. Originality/value: This study advances the employability literature by adopting a unique triadic analytical framework to contrast the perceptions of students, lecturers and employers. While prior research (e.g. Nguyen, 2024) has focused on individual agency, this paper unearths the "digital-AI readiness gap" -- a latent misalignment in data-driven workflows often missed by standard surveys. By integrating mixed-methods data within an emerging Southeast Asian context, the study provides a strategic roadmap for recalibrating work-based learning to meet the shifting technological demands of the 2025-2030 labor market.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1506118
Database: ERIC
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