How Roles Work in μLearn
Roles in μLearn are earned, not assigned. They can be held concurrently. They come with real responsibilities not just titles. Find your role below and go deep.
Roles in μLearn work differently from most systems.
They are earned - through Karma, community trust, demonstrated contribution, and in some cases a formal assessment. You don't apply for most roles. You grow into them.
They are concurrent - a learner can be a Contributor and an IG Lead simultaneously. Roles are not stages you leave behind. They are responsibilities you add as you grow.
They are track-based - different roles belong to different tracks. Your track depends on who you are and how you entered the ecosystem.
The Four Tracks
Student Track For learners moving through the ecosystem in any combination, at any pace.
Learner - everyone starts here
Contributor - active community builders
IG Lead - domain stewards
Campus Lead - node operators
Mentor - guides for the next generation
Professional Track For industry experts and domain professionals entering directly.
Mentor - industry practitioners bringing real-world expertise
Think Tank - Subject Matter Experts who define and validate domain standards
Faculty Track For educators and faculty members from partner institutions.
Enabler - faculty members bridging academia and μLearn
External Track For organisations engaging with μLearn as partners.
Partner → Partner Engagement
Every role is earned. Every role has a scope. Every role has a limit. Find your role. Go deep.
Last updated
Was this helpful?

