Policy & learning structures for project based self-driven learning: tasks, skills required, skills gained, learning-partner verification guides.
Enabling local identity and culture: skills identity, supporting economic identity.
Learning-partners can see how the skills were achieved: how it was learnt, who verified them etc.
Communities can establish governance rules etc including alignment with non-organic entities (eg GenAI)
The foundation:
Open, adaptable.
A structural part of the identity economy.
Universal, enabling global learning.
Independent of entity type: Humans, AI, Machines can collaborate and work/learn together.
Can be stored on-chain, as decentralised assets on the Cardano blockchain.
Includes verification logic for building trust.
Use with GenAI for alignment guidance. e.g. heyOcto.ai
Learning templates include verification logic that can be used when determining if a learner has a required skill and also when a skill is being issued as "gained" i.e. who can issue the achievement/skill.
Access the skills set using the selfdriven API.
Access the skills set on the Cardano blockchain.
A guide on how to build a template.
Supporting Self-driven Project Based Learning Design
Establish trust in issued achievements & skills
A deeper dive into establishing trust in issued achievements and associated skills.
A member of the selfdriven community created using DALL-E.
Octo characters can be used when grouping skills based on capabilities.
Talk to us about how we can get you started with building a template.