Open source learning analytics ยท olt.academy

Every learning moment,
measured and understood.

A unified, open source suite of seven learning tools โ€” readings, video, documents, flashcards, quizzes, coding environments, and AI tutoring โ€” that captures rich behavioral data across every learning surface, under one student identity.

The Problem

Fragmented learning data trapped in disconnected silos

Today's learning runs on closed platforms. The data they generate is locked away from the people who could learn from it.

Students learn across Khan Academy, Google Docs, Quizlet, Canvas, and a dozen other apps โ€” each siloing its own behavioral data behind a proprietary API, or not capturing it at all. Educational AI researchers are left with thin, fragmented signals.

OLT is a hosted suite of open source learning tools, instrumented end-to-end and purpose-built to give researchers the rich, unified learning data that educational AI needs.

Khan Academy Google Docs Quizlet Canvas Kahoot OLT ยท unified record Notion Anki Coursera Schoology Blackboard OLT ยท unified record
Khan Academy Google Docs Quizlet Canvas Kahoot OLT ยท unified record Notion Anki Coursera Schoology Blackboard OLT ยท unified record

The Platform

Seven open source tools.
One coherent learning record.

Hypothesis

Annotate textbooks and readings

PeerTube

Watch and engage with instructional video

CryptPad

Collaborate on documents and slides

Scholarsome

Practice with flashcards

H5P

Complete interactive quizzes

code-server

Write and run code in the browser

LibreChat

Learn with an AI tutor

Every interaction across all seven tools flows into a single learning record โ€” attributed to one student, in one open standard xAPI.

For Schools

Hosted, integrated, and yours to keep.

Pricing: Contact us for institutional pricing.

Request a Demo

Hosted solution, fully managed

We run the infrastructure. You focus on teaching.

Single sign-on across all tools

One account per student โ€” no shuffling between logins.

FERPA-compliant data handling

Educational records stay protected, by design and by policy.

No vendor lock-in

Built entirely on open source. Self-host any time, no migration penalty.

For Researchers

Anonymized learning data, openly accessible.

OLT contributes anonymized learning datasets to the Massachusetts Data Commons, available to credentialed researchers under standard data-use agreements.

Request Data Access

Data shared in accordance with FERPA and IRB guidelines.

Data covers

  • โ€” Behavioral engagement across reading, video, and code
  • โ€” Assessment outcomes from quizzes and flashcard practice
  • โ€” Demographic context, anonymized at the cohort level
  • โ€” Cross-tool learning patterns under a unified identity

Useful for

Learning scienceAI model trainingEducational equity research

Open Source

MIT-licensed.
Forkable. Yours.

OLT Academy is MIT-licensed open source โ€” free to use, modify, and self-host without restriction. The full instrumentation layer, LRS pipeline, and SSO wrapper live in the public repository.

Want to contribute instrumentation for a new tool? We welcome pull requests.

See what your students' learning actually looks like.