SFIA Presentation - SFIA - Mapping Pathways in VET Education
SFIA – Mapping Pathways in VET Education explores how the Skills Framework for the Information Age (SFIA) enhances vocational education by aligning digital skills with industry needs. This session demonstrates practical approaches to mapping qualifications, developing career pathways, and empowering learners and educators through consistent, skills-based frameworks.
About this event
Join us for an insightful session exploring how the Skills Framework for the Information Age (SFIA) is being used to strengthen pathways in Vocational Education and Training (VET). This presentation will demonstrate how SFIA provides a consistent, skills-based framework that aligns qualifications with real industry capability requirements, helping learners, educators, and employers speak a common language of skills.
Hear from Sally Browner (FSO), Craig van Zyl (C4 Digital), and Lisa Syrek (ACS) as they share the collaborative journey of mapping the ICT Training Package to SFIA. Together, they will unpack the methodology, challenges, and outcomes of this national initiative designed to enhance digital career pathways and workforce readiness.
Discover how SFIA helps educators contextualise digital skills within VET qualifications, ensuring learners gain the right competencies to meet evolving industry demands. The speakers will also highlight the practical tools and lessons learned from integrating SFIA into education and training programs, offering valuable insights for RTOs, policy leaders, and training professionals aiming to embed capability frameworks into their delivery and assessment models.
This session is ideal for those shaping the future of Australia’s digital skills ecosystem.
Speakers
Craig van Zyl is the Founder and CEO of C4 Digital, a Sydney-based agency delivering scalable enterprise solutions and digital transformation. With over 15 years in senior technology leadership, including CIO roles at APN News & Media and major Asia-Pacific retailers, Craig combines deep technical expertise with strategic insight. At C4 Digital, he leads the design of AI-driven systems for content classification, process automation, and large-scale data analysis. His team’s recent work applies AI and natural language processing to map education and job roles to frameworks like SFIA, driving more precise, scalable approaches to skills classification and workforce development.
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