More from the UNESCO-UNEVOC guide "Integrating AI in TVET: A practical guide for institutions," which I was lucky enough to be a member of the advisory group. I have written before of the challenge AI Poses for Vocational Education and Training being both the subject of VET and a means of teaching and learning about VET. VET institutions have to prepare learners for evolving occupational roles while figuring out how to use these technologies within their own teaching and administrative practices. The new publication from UNESCO-UNEVOC offers a roadmap for navigating this transition. Developed in collaboration with Shenzhen Polytechnic University and Otto von Guericke University Magdeburg, the guide provides a pragmatic approach to embedding AI responsibly across the TVET sector. The guide comes at an opportune time for Pontydysgu, who are partners in an Erasmus+ project with the title AI Ready!

Rather than focusing solely on the technological novelty of generative models, the guide positions AI integration as an urgent operational necessity requiring a coherent, institution-wide strategy. It argues that becoming "AI ready" is not simply about procuring new software; it is about cultivating an ecosystem that places educational purpose, human agency, and equity at its centre. This involves moving beyond the initial hype and undertaking the hard, practical work of building institutional readiness, ensuring that systems are robust enough to handle disruption and agile enough to equip learners with the skills they genuinely need for the future.

Building an AI-Ready Ecosystem

A core concept within the guide is the idea of a four-dimensional ecosystem necessary for building an AI-ready training environment. This ecosystem requires the alignment of stakeholder roles and partnerships, active industry engagement, enabling digital infrastructure, and the leveraging of existing institutional capacity. The most significant hurdles in this process are rarely technological; they are institutional and cultural. Developing AI readiness demands strong leadership, a willingness to embrace organisational change, and a sustained investment in human capabilities. Institutions cannot simply overlay AI onto existing structures; they must foster an environment where educators feel supported to experiment, understand the ethical implications, and adapt their pedagogies accordingly.

The guide proposes a phased, adaptive maturity pathway for institutions, acknowledging that no two TVET providers are starting from the same baseline. This pathway suggests beginning with low-risk diagnostic audits and high-value administrative pilots before gradually scaling up to full curriculum integration. This measured approach is particularly relevant for the European VET sector, where institutions often grapple with varying levels of digital infrastructure and staff digital fluency. By treating AI integration as a progressive journey rather than a sudden overhaul, institutions can build confidence and competence among their staff, ensuring that technology serves to augment human teaching rather than attempting to replace professional judgement. And this is the approach we have adopted in the AI Ready project, which brings together vocational schools from Belgium, Greece and Spain. Our diagnostic audit, being launched in the autumn, is based on the European Commission’s Selfie tool.

Rethinking Pedagogy and Assessment

Embedding AI in VET offers an opportunity to evolve beyond traditional hands-on approaches and embrace pedagogies that incorporate digital tools with critical thinking, adaptability, and socio-technical awareness. However, this requires an expanded conception of AI literacy that goes beyond tool use and technical fluency. It demands the inclusion of reflective, responsible, and learner-centred skills that equip learners to question, navigate, and shape the sociotechnical systems that AI both reflects and reinforces.

A vital aspect of becoming AI ready involves rethinking how we assess vocational competencies. As the UNESCO-UNEVOC guide highlights, traditional output-based assignments are becoming increasingly unreliable metrics when generative AI can easily simulate final texts or code. VET institutions must shift their focus toward process documentation, continuous project logs, and direct human validation, such as oral defences or practical demonstrations. In safety-critical fields like construction or nursing, AI-enhanced simulations can act as powerful accelerators for learning, but they must never replace supervised physical practice. The goal is to develop AI-resilient assessment methods that evaluate whether a student can use AI with professional judgement, verify its outputs, and remain accountable in an increasingly AI-mediated workplace.

Ultimately, the institutions that will lead the future of vocational training are those capable of combining technology, pedagogy, ethics, and innovation into a cohesive strategy. The UNESCO-UNEVOC guide provides a valuable starting point for these critical conversations within institutions. The publication is available in the UNESCO online library for those looking to delve deeper into these practical recommendations.

References:

Attwell, G. (2026, July 8). Getting "AI ready": The new UNESCO-UNEVOC guide for TVET institutions. AI Pioneers. https://aipioneers.org/getting-ai-ready-the-new-unesco-unevoc-guide-for-tvet-institutions/

Sturgeon Delia, C. (2025 ). European insights: Adoption of AI in TVET institutions — challenges, opportunities and recommendations. UNESCO-UNEVOC BILT Atlas. https://atlas.unevoc.unesco.org/research-briefs/european-insights-adoption-of-ai-in-tvet-institutions-challenges-opportunities-and-recommendations

UNESCO. (2026, June 30 ). Integrating AI in TVET: Launch of a practical guide for institutions. https://www.unesco.org/en/articles/integrating-ai-tvet-launch-practical-guide-institutions

Yang, C., Wu, W., & Tegelbeckers, H. (2026 ). Integrating AI in TVET: A practical guide for institutions. UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training. https://unesdoc.unesco.org/ark:/48223/pf0000398609

About the Image

This image explores how community activism is challenging "Silicon Valley narrative cocktails" about AI. Globally, communities are effectively challenging extractive and unethical AI practices introduced by huge commercial companies and their leaders and political allies. As just one example, communities around the world have been fighting back against the building of data centres, which deplete water and energy resources and disrupt local habitats.