Most SCORM content was built to be completed, not explored. Once published into an LMS, valuable learning content often becomes trapped inside packages that are difficult to search, reuse, personalise or translate at scale. This session explores how AI can help unlock existing digital learning content and turn it into something far more useful.

Using real-world examples and free tools, this session will look at how structured learning content can be extracted from SCORM packages, made searchable in a meaningful way, and surfaced contextually to support learners at the point of need. It will also examine how AI can support faster, more scalable translation workflows for multilingual learning, while still maintaining appropriate quality control.

• Explain why traditional SCORM packages often underperform as searchable knowledge assets.
• Explore methods for turning learning content into context-aware support using AI.
• Assess the opportunities and risks of using AI to translate digital learning content at scale.