Design thinking and AI in TVET: driving human-centred digital transformation in vocational education
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Abstract
This systematic literature review explores the convergence of design thinking (DT) and artificial intelligence (AI) as transformative strategies in Technical and Vocational Education and Training (TVET). Amidst accelerating technological shifts, TVET systems face growing pressure to equip learners not only with technical skills but also with creativity, adaptability, and systems thinking. DT and AI, while individually valuable, remain under-integrated in vocational curricula, often limited to isolated pilot initiatives without strategic institutional anchoring. This review synthesizes findings from 12 empirical studies published between 2021 and 2025, analyzing their methodologies, impacts, and thematic contributions. Three overarching themes emerged: (i) design thinking as a driver of pedagogical transformation in vocational settings; (ii) leveraging emerging technologies to personalize and humanize learning in TVET; and (iii) integrating design thinking with institutional strategy for workforce readiness in TVET. While these studies showcase innovative practices, critical gaps persist particularly in long-term scalability, ethical AI integration, and systemic policy frameworks. Notably, few studies operationalize the combined use of DT and AI within holistic institutional strategies. This review argues for a paradigm shift: repositioning TVET as a human-centered engine for digital innovation. It calls for co-created, cross-sector frameworks that embed AI-powered DT models into educational policy and institutional planning. The findings highlight an urgent need for sustainable, evidence-based models to make vocational education responsive, inclusive, and future-ready.
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