Embracing AI in Rwanda's TVET system: a leap towards the future

In an increasingly technology-driven world, integrating artificial intelligence (AI) into education offers new opportunities for improving teaching and learning. Recognising this, the Rwanda TVET Board and LuxDev have organised two significant events, marking an important step in the country's journey towards AI-enhanced technical and vocational education and training (TVET). Both AI-focused workshops were carried out as part of the Digital skills for quality TVET project and implemented in collaboration with the Rwanda Coding Academy and Edified Generation Rwanda, bringing together experts and practitioners to explore how AI can strengthen curriculum delivery and support innovation in TVET.

Participants focused on both the practical integration of AI tools into TVET programmes and the technical foundation required to develop the national AI Tutor and AI Assistant systems.

Educators, industry experts and EdTech specialists reviewed TVET curricula, identified gaps related to Industry 4.0, and evaluated AI tools based on usability, affordability, sustainability and learning impact. High-potential tools were validated across four priority trades – animal health, building construction, manufacturing technology, and software development – along with cross-cutting tools to support teachers.

Partners also worked on the system architecture, data flows, curriculum mapping, dataset preparation and licensing or API requirements for the AI Tutor and AI Assistant. Infrastructure needs, including high-performance computing specifications, were assessed to ensure the system can be deployed effectively and scaled over time. These combined efforts resulted in a validated architecture, structured data standards, and a clear roadmap to guide full system development and deployment.

The workshops highlighted several key lessons essential for guiding the responsible and effective integration of AI in TVET :

1. AI integration must be structured and evidence-based. The use of scorecards, audits and validation matrices ensured objectivity and sustainability;
2. pedagogy must guide technology choices. AI tools were assessed based on their ability to solve real classroom challenges, not simply their novelty;
3. infrastructure and licensing must be planned early. Confirming hardware, software and data requirements early helps reduce implementation risks;
4. teacher capacity remains essential. Successful AI adoption depends on educators who understand how to use the tools effectively.

In the next phase, Edified Generation Rwanda will pilot teacher training on selected trade-related AI tools in technical secondary schools, while the Rwanda Coding Academy will continue the development, testing and refinement of the AI Tutor and AI Assistant systems. Parallel efforts will focus on strengthening digital infrastructure, supporting educators and monitoring progress to ensure sustainable and scalable AI integration across TVET institutions.

The Digital skills for quality TVET in Rwanda project aims to enhance the country’s TVET system by integrating digital technologies and adopting blended learning, which combines classroom and online instruction to improve learning quality and digital skills. It is funded by the Grand Duchy of Luxembourg and implemented by LuxDev, the Luxembourg Development Cooperation Agency.