Bridging TVET Education and Cleanroom Industry Expectations: An AI-Supported Behavioural Alignment Framework for SOP-Oriented Workforce Readiness

DOI

10.2991/978-94-6239-745-3_26How to use a DOI?

Keywords

TVET; cleanroom culture; SOP discipline; workforce readiness; pragmatics; AI-supported learning

Abstract

This study proposes a cross-institutional AI-supported behavioural communication framework designed to align Technical and Vocational Education and Training (TVET) classroom communication practices with cleanroom-regulated industry expectations. Cleanroom environments, which are commonly viewed as technical engineering systems, are conceptualised in this research as a behavioural benchmark characterised by procedural discipline, directive clarity, confirmation practices, and zero tolerance for ambiguity. The study employed a qualitative developmental design conducted in four phases: (1) needs analysis, (2) conceptual framework development, (3) pilot classroom implementation, and (4) expert validation. Data for needs analysis were collected from six TVET academic staff from three Malaysian institutions through focus group discussions, and two experienced Malaysian semiconductor engineers. In addition to confirming communicative behaviours identified in previous literature (directive interpretation, clarification behaviour, and procedural accountability), the TVET educators and industry practitioners highlighted the prevalent issues, including assumption-based compliance, avoidance of clarification, and limited anticipation of procedural consequences in industrial supervised environments. A behavioural communication framework was constructed from the confirmed and identified themes, drawing on literature on Speech Act Theory, Institutional Discourse, and AI-supported reflective learning. The proposed model was piloted for 4 weeks among 48 diploma-level TVET students, who engaged with AI-supported reflective learning in comprehending and practising the rules in the framework. The students’ pre- and post-pilot reflective responses and researchers’ observations demonstrated measurable shifts in directive interpretation and confirmation behaviour, and enhanced metacognitive awareness of SOP compliance, demonstrating the framework’s feasibility in AI-supported classroom learning. Following minor refinements from a validation panel, the resulting framework attests that cleanroom culture can serve as an effective behavioural model for strengthening workforce readiness without requiring technical simulation. This study contributes to TVET communication pedagogy by integrating AI-supported reflective scaffolding into industry-aligned curriculum design.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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TY  - CONF
AU  - Shuhasyini Balan
AU  - Bharathi Mutty
AU  - Ravindran Krishnan
PY  - 2026
DA  - 2026/08/24
TI  - Bridging TVET Education and Cleanroom Industry Expectations: An AI-Supported Behavioural Alignment Framework for SOP-Oriented Workforce Readiness
BT  - Proceedings of the International Conference on Research, Innovation, Sustainability, and Educations (IRISECON 2026)
PB  - Atlantis Press
SP  - 389
EP  - 408
SN  - 3091-4442
UR  - https://doi.org/10.2991/978-94-6239-745-3_26
DO  - 10.2991/978-94-6239-745-3_26
ID  - Balan2026
ER  -