Enhancing Vocational Education in Computer Science: Implementing the Discrepancy Evaluation Model (DEM) for Quality Assurance

Vocational education is essential for developing human resources to support national progress. However, aligning academic curricula with industry needs is a significant challenge that impacts vocational education quality. This study uses a quantitative approach to evaluate the quality assurance of vocational education in computer science using the Discrepancy Evaluation Model (DEM) and information technology. Results reveal that learners reacted positively to curriculum and policy changes despite variations in technology infrastructure and experiences with online platforms. Training sessions received favorable feedback, although adherence to technology policies was inconsistent. The integration of information technology in learning was deemed beneficial for enhancing the quality of education and improving students’ skills, although challenges remain. These findings underscore the necessity for continuous evaluation to enhance quality assurance in vocational education through information technology, ensuring alignment with industry demands and adequately preparing students for the digital age.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.47836/pp.1.2.016
Primary Topic
Higher Education Learning Practices
Type
article
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article

Enhancing Vocational Education in Computer Science: Implementing the Discrepancy Evaluation Model (DEM) for Quality Assurance

Putrinda Inayatul Maula, Wahyu Sakti Gunawan Irianto, Siti Salina Mustakim, Yoto Yoto et al.
Higher Education Learning Practices
article

Enhancing Vocational Education in Computer Science: Implementing the Discrepancy Evaluation Model (DEM) for Quality Assurance

Putrinda Inayatul Maula, Wahyu Sakti Gunawan Irianto, Siti Salina Mustakim, Yoto Yoto, Hakkun Elmunsyah
article en

Abstract

Vocational education is essential for developing human resources to support national progress. However, aligning academic curricula with industry needs is a significant challenge that impacts vocational education quality. This study uses a quantitative approach to evaluate the quality assurance of vocational education in computer science using the Discrepancy Evaluation Model (DEM) and information technology. Results reveal that learners reacted positively to curriculum and policy changes despite variations in technology infrastructure and experiences with online platforms. Training sessions received favorable feedback, although adherence to technology policies was inconsistent. The integration of information technology in learning was deemed beneficial for enhancing the quality of education and improving students’ skills, although challenges remain. These findings underscore the necessity for continuous evaluation to enhance quality assurance in vocational education through information technology, ensuring alignment with industry demands and adequately preparing students for the digital age.

Vol. 1(2)
Openalex Percentile: Top 94%
Higher Education Learning Practices
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