Attendance for Learners
Proof of presence to acquire a unit of competence. Minted by the instructor once the learner’s attendance is confirmed — the first link in the chain of engagement.
Linux Foundation Decentralized Trust Lab
Learning Tokens turns the learning process itself into verifiable credit. Every unit of competence — attendance, a score, an act of help — is minted on-chain the moment it happens, not certified years later at graduation.
Attended · Intro to Cryptography
Attendance
Scored 94/100 · Assessment 3
Score · Learner
Helped 6 peers · Forum review
Help
Rated teaching · Module 2
Score · Instructor
The thesis
A degree summarises years into a single line. The partial efforts — the assessment passed, the concept mastered, the peer helped — leave no durable trace anyone can verify.
Learning Tokens records competence at the granularity it actually happens, tagged with standard fields of knowledge (CIP) and skills (WEF Reskilling Revolution taxonomy).
Each token is a portable, tamper-evident credential the learner holds — threadable across curricula, institutions and borders, without asking a registrar for permission.
The instruments
Two templates built on the InterWork Alliance Token Taxonomy Framework: a non-fungible formula for attendance and scores, and a fungible formula for help.
Proof of presence to acquire a unit of competence. Minted by the instructor once the learner’s attendance is confirmed — the first link in the chain of engagement.
The value of acquiring a competence, awarded against the scoring guide. Metadata records the field of knowledge, the skill, and the course, instructor and institution IDs.
Recognition of collaborative support — answering forum questions, reviewing peers, grading together. Fungible by design, so help can be exchanged for waivers, scholarships and standing.
Learners assess teaching performance at set points in a course. Feedback becomes a credential for the instructor, closing the loop between teaching and outcomes.
Scoring guides act as the oracle — the transparent grading policy that authorises every mint and transfer.
The lifecycle
Registers on Learning Tokens and receives a verifiable institution ID — the root of trust for everything minted beneath it.
Is registered by the institution, then registers a course with its fields of knowledge (CIP) and skills (WEF taxonomy).
Publishes a scoring guide: the transparent policy of points available at each step. This guide is the oracle.
Enrols, attends, is assessed and helps peers. Each recognised act mints a token transferred to the learner’s wallet.
Any employer or institution reads the learner’s tokens directly from the ledger — no phone call to a registrar required.
The bridge · ltsdk
The Learning Tokens SDK connects your existing Learning Management System to the protocol. It unifies authentication, pulls course and grade data, and shows it in a dashboard so your team can review everything before any token is issued.
Credentials never leave your machine — the SDK stores them locally and keeps them out of git and the published package.
Open edX
OAuth 2.0 · authorization code
Moodle
Web services token
Canvas
Personal API token
Google Classroom
OAuth consent flow
$ npm install ltsdk
$ npx ltsdk start
✓ access key verified
✓ auth server → localhost:5002
✓ dashboard → localhost:3000
→ connect Moodle · Canvas · edX · Classroom
→ review course data, then issue tokens Under the hood
Every layer is open source and independently runnable — deploy to a local Hardhat node in minutes, or to a permissioned enterprise network.
Solidity · Hardhat
LearningToken contracts define the mint and transfer rules for every token template.
NestJS · TypeScript
Registers institutions, instructors and courses; orchestrates minting against scoring guides.
React · Vite · Tailwind
The console where teams review LMS data and issue tokens to learners.
ltsdk · npm
The LMS bridge and local review dashboard that runs on the implementer’s machine.
Hyperledger Besu · Quorum
Runs on a local EVM node, a testnet, or a permissioned Besu / Quorum network.
Sister project · Learning Tokens Lab
If Learning Tokens mints the proof of skills, Talent Angels helps you navigate them. One agentic AI — Graph-RAG over the world’s occupational taxonomies — that owns your goal end to end: reads the intent, plans a route, and answers with evidence and confidence. Built by the same mentorship lab under LF Decentralized Trust.
One assistant · four navigation skills
Locate
Free text to a precise point on the map, with confidence.
Connect
Neighbors, hierarchy and gaps around any point.
Pathfind
Routes between two points, under the rules you set.
Evaluate
Score and rank those routes by a documented policy.
Skills are the currency of talent
One assistant plans, then dispatches its skills — no maze of hand-off agents. Determinism lives in the graph tools; the model decides what to ask and how to answer, over a living ontology of talent.
Grounded in
The register · mentors & mentees
Learning Tokens has been a mentorship Lab since 2022. Every line below is someone who spent a term of the Linux Foundation mentorship program building part of this protocol — and whose own skills, fittingly, are recorded in the ledger they helped write.
2022
Hyperledger Mentorship Program
2023
Hyperledger Mentorship Program
2024
LFX Mentorship · LF Decentralized Trust
2025
LFX Mentorship · LF Decentralized Trust
And the wider community
Missing from this ledger? open an issue and we will enter you.
For developers
Spin up the contracts on a Hardhat node, start the backend and dashboard, or run the whole stack on Hyperledger Besu. Everything is Apache-2.0 and documented in the repo.
For institutions
Install the SDK, connect Moodle, Canvas, Open edX or Google Classroom, and review your course data before issuing a single token. Your credentials stay on your machine.
npx ltsdk start Built on open standards