Program Type: International Webinar /
FOCUS OF THE WEBINAR
This webinar examines the strategic implications of artificial
intelligence for TVET in strengthening workforce readiness, curriculum
responsiveness, teaching and learning, and institutional transformation. It
brings together the industry perspective on emerging AI skills and talent
pathways and the TVET perspective on translating technological developments
into relevant skills, pedagogical practices, and institutional
responses.
It reflects the following Sustainable Development Goals (SDGs):
- SDG 4: Quality Education - strengthening the relevance, quality, and responsiveness of TVET through AI-related competencies, future-ready curricula, innovative pedagogical approaches, and enhanced teacher and trainer capabilities.
- SDG 8: Decent Work and Economic Growth - promoting stronger alignment between TVET skills development and evolving occupational requirements to prepare learners and workers for AI-enabled workplaces.
- SDG 9: Industry, Innovation and Infrastructure - supporting technological innovation, digital transformation, and stronger collaboration between TVET institutions and industry in developing future-ready skills.
- SDG 17: Partnerships for the Goals - encouraging collaboration among TVET institutions, industry, policymakers, education and training stakeholders, and development partners to strengthen AI-ready TVET systems.
Discussions will explore key themes such as emerging AI-related skills and occupations, AI talent pipelines, industry skills requirements, ladderized learning-to-work pathways, microcredentials, curriculum responsiveness, AI-enabled teaching and learning, teacher and trainer capacity development, responsible AI adoption, institutional digital transformation, and industry–TVET collaboration.
OBJECTIVES
- To enhance understanding of the implications of artificial intelligence for the future of work and the changing skills requirements of industry.
- To examine emerging AI-related competencies, talent pathways, and workforce requirements and their implications for TVET systems.
- To explore approaches for strengthening TVET curricula, training programs, and microcredentials in response to evolving industry needs.
- To discuss how AI can be integrated into teaching, learning, assessment, and other institutional practices in TVET.
- To highlight strategies for strengthening the capacity of TVET teachers and trainers to respond to AI-enabled education and training.
- To promote responsible, inclusive, and human-centred approaches to AI adoption in TVET.
- To foster stronger collaboration among TVET institutions, industry, policymakers, and other stakeholders in developing AI-ready and future-oriented TVET systems.

