Journal of Vocational, Informatics and Computer Education
Vol 4, No 3 (2026): September 2026

Immersive Learning and Occupational Safety Readiness: The Mediating Roles of Safety Engagement and Contextual Learning

Ika Triwati (Politeknik Dewantara)
Suaedi Suaedi (Universitas Cokroaminoto Palopo)
Mukhlisin Mukhlisin (Universitas Negeri Makassar)
Indra Sukma (Universitas Negeri Makassar)



Article Info

Publish Date
22 Sep 2026

Abstract

Purpose – This research investigates how immersive learning is associated with occupational safety readiness by considering safety engagement and contextual learning as two mediating pathways among vocational students. Method – Survey data from 576 vocational high school students in South Sulawesi were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4.0 to estimate the relationships specified in the proposed model. Findings – Higher levels of immersive learning were associated with safety engagement (β = 0.863, p < 0.001), contextual learning (β = 0.887, p < 0.001), and occupational safety readiness (β = 0.147, p = 0.023). Occupational safety readiness was also positively related to safety engagement (β = 0.237, p < 0.001) and contextual learning (β = 0.556, p < 0.001). Significant indirect associations were identified through safety engagement (β = 0.205, p < 0.001) and contextual learning (β = 0.493, p < 0.001). Research implications – The results highlight the value of combining immersive learning with instructional practices that encourage active participation in safety learning and connect educational experiences with authentic workplace contexts. Originality – By incorporating two distinct mediating processes within a single framework, this study provides an integrated explanation of how immersive learning relates to occupational safety readiness in vocational education.

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Journal Info

Abbrev

VOICE

Publisher

Subject

Computer Science & IT Education

Description

1. Informatics and Computing Research addressing the design, development, implementation, and evaluation of computing technologies relevant to educational, professional, and digital learning environments, including but not limited to: Artificial Intelligence and Machine Learning Deep Learning and ...