AI Enrichment Tools

LEAST includes AI-assisted tools that help educators and platform administrators enrich lesson metadata, tag content with roles and skills, and surface discovery connections.

The AI pipeline analyses lesson content and suggests:

• Relevant occupational role tags (from a taxonomy of 701+ roles)
• EKOS competency links (European Key Occupation Standards — 215 competency areas)
• Learning objective improvements
• Related lesson suggestions

To run enrichment on a lesson:

1. Open the lesson → AI Tools → Enrich
2. Review the suggested tags
3. Accept, edit, or reject each suggestion
4. Save — accepted tags are applied to the lesson record

For mass tagging of existing lessons:

1. Navigate to Educator → AI Enrichment → Batch Run
2. Select lessons to process (or run on all untagged lessons)
3. The pipeline runs in the background; results appear in the Review Queue

AI-generated suggestions always go through a human review step:

1. Navigate to Educator → AI Review Queue
2. Each item shows: lesson title, suggested tags, confidence score
3. Actions: Approve, Edit and Approve, Reject
4. Approved suggestions are applied and logged

The platform maintains a map of 734 role-lesson connections (AI-generated, human-reviewed). These power:

• The Discover feature (showing learners content relevant to their role)
• Employer-facing analytics (what skills does this learning pathway develop?)

Educators and admins can inject new lesson content at scale using the content pipeline API:

1. Content descriptors (title, description, URL, type) are submitted via the API
2. iFrame embeddability is auto-detected
3. New lessons enter the Review Queue for human approval before going live

See Collection API for technical details on the injection endpoint.