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December 12, 2025F1000Research0 citationsOpen Access

Exploring the Mediating Role of Teacher–Student Interaction in Technology-Enhanced Vocational Education: Evidence from a Structural Equation Modelling Study

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TKTitus KurraSSSyarifuddin SyarifuddinENErvi Novitasari

Key Points

  • This research aims to examine how teacher–student interaction mediates the relationship between technology-enhanced learning and learning engagement in vocational education.
  • Used structural equation modelling to analyze data from 362 vocational students in Indonesia.
  • Employed stratified sampling to ensure representative responses.
  • Utilized SmartPLS 4 for data analysis with 5,000 bootstrap samples.
  • Technology-Enhanced Learning Environment positively influenced TSI and Learning Engagement.
  • Significant pathways from TSI predicted Learning Engagement with partial mediation.
  • Model fit indices indicated an excellent fit, explaining 55% variance in TSI and 68% in Learning Engagement.

Abstract

The integration of digital technology in vocational education has redefined instructional delivery and learner engagement. However, the extent to which technology enhances learning depends largely on the quality of teacher–student interaction. This study investigates the mediating role of Teacher–Student Interaction (TSI) in the relationship between the Technology-Enhanced Learning Environment (TEL) and Learning Engagement (LE). Drawing on the Community of Inquiry (CoI) and Technological Pedagogical Content Knowledge (TPACK) frameworks, this research tested a structural model to explain how interaction bridges technological and pedagogical processes in vocational learning contexts. A total of 362 valid responses were collected from vocational students across Indonesia using a stratified sampling approach. The data were analyzed through Structural Equation Modelling (SEM) using SmartPLS 4 with 5,000 bootstrap samples. The results demonstrated that TEL positively influenced TSI (β = 0.71, p p p p 2 /df = 2.31, CFI = 0.953, TLI = 0.947, SRMR = 0.046, RMSEA = 0.048) and explained 55% of the variance in TSI and 68% in LE. These findings affirm that technology integration enhances learning engagement primarily when mediated by active teacher–student interaction. The study underscores that digital transformation in vocational education must emphasize pedagogical presence and communicative interaction to sustain engagement, particularly in remote and under-resourced (3T) regions.

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Cite This Study

Kurra et al. (2025) studied this question.

synapsesocial.com/papers/6940190c2d562116f28f645ahttps://doi.org/10.12688/f1000research.173549.1
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