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Axiom Flow

Measure understanding by how well students can teach it — not just recall it.

Traditional assessments measure memorization, not real understanding. Axiom Flow uses the Feynman Technique to assess students by having them teach an AI student (Sam), whose built understanding is then examined. The exam score reflects teaching quality, making it a true measure of conceptual mastery — not test-taking ability.

Overview

Information on this page is provided by the innovator and has not been evaluated by HundrED.

Updated June 2026
Created by

Axiom Flow

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2025

Established

1

Countries
Students upper
Target group
Education systems worldwide over-index on recall as a proxy for understanding. Students learn to pass tests, not to build and transfer knowledge. This creates graduates who can reproduce information under exam conditions but struggle to apply concepts in real, unstructured situations. Axiom Flow envisions a future where formative assessment routinely measures how well a student can construct and communicate understanding — not just retrieve stored answers. When teaching becomes the assessment, students are incentivized to actually understand material rather than optimize for surface-level performance. The long-term goal is for Feynman Technique-based assessment to become a standard component of how institutions measure learning outcomes — embedded in LMS platforms the way quizzes and assignments are today, but producing qualitatively richer evidence of mastery. This shift would give educators better data, give students a more honest measure of their own understanding, and ultimately align assessment more closely with what education is actually for.

About the innovation

Why did you create this innovation?

Most formative assessment tools measure whether students can recall information under test conditions. This tells educators very little about whether a student has genuine conceptual understanding. A student can memorize definitions and pass a quiz without being able to explain why something works.

The Feynman Technique — the idea that you only truly understand something if you can teach it simply — is widely respected as a learning and self-assessment method, but has never been systematically applied as a structured, scalable assessment tool in real classrooms.

Axiom Flow was created to close that gap. The platform turns teaching into a measurable act. Students explain concepts to Sam, an AI student who only knows what it is taught. Sam is then examined on that taught knowledge. The exam result becomes the formal measure of how well the student understood and transferred the concept. This removes the guessing, surface-level recall, and test anxiety common in traditional formats — and replaces them with a direct measure of understanding quality.

What does your innovation look like in practice?

An instructor uploads lecture notes, pastes academic content, or provides a YouTube video URL. Atlas, the assessment AI, analyzes this material and generates a set of misconceptions — structured incorrect beliefs about the topic — along with corresponding exam questions mapped to each one.

Sam, the AI student, is initialized with these misconceptions as his starting understanding. The student then teaches Sam the concept in a free-form conversation. Sam asks clarifying questions when explanations are unclear and updates his understanding solely based on what the student says. No external knowledge is used.

Once teaching is complete, Sam takes a structured mock exam. Each question maps to one misconception. Sam answers only from his taught understanding. Atlas then evaluates the answers, producing a score, identifying remaining misconceptions, and generating a breakdown of conceptual gaps.

The platform is deployed via Moodle LTI and is currently active with over 100 students in real coursework environments. Instructors receive structured assessment data without requiring manual grading of open-ended explanations.

How has it been spreading?

Axiom Flow launched as a Moodle LTI integration and is currently in active use in real academic environments with over 100 students. It is production-ready and embedded directly into coursework as a formative assessment tool.
In the near term, the platform is expanding its LMS integrations to include Blackboard and Clever, broadening reach beyond Moodle-based institutions. The core architecture is designed to be LMS-agnostic, making integration into any major learning management system straightforward.

Over the next 2-3 years, Axiom Flow aims to establish itself as a standard formative assessment layer for higher education and secondary institutions — a scalable infrastructure for measuring conceptual mastery through teaching, not testing. The goal is to make Feynman Technique-based assessment as accessible and routine as quiz-based tools, while producing significantly richer data on student understanding.

If I want to try it, what should I do?

Visit axiomflow.app to learn more. Axiom Flow is available as a Moodle LTI integration. Instructors can connect it directly to their Moodle course. For access, onboarding, or institutional inquiries, contact the team through the website.

Implementation steps

Upload learning material
Provide lecture notes (PDF), pasted content, or a YouTube URL as the knowledge boundary for the session.
Atlas generates misconceptions
Atlas identifies key conceptual areas, generates structured incorrect beliefs, and creates exam questions mapped to each one.
Teach Sam
The student explains the concept to Sam in a free-form conversation. Sam asks clarifying questions and updates his understanding only from what he is taught.
Sam takes the exam
Sam answers each exam question using only his taught understanding. No external reasoning is applied.
Atlas evaluates and reports
Atlas scores the exam, identifies remaining conceptual gaps, and produces an assessment report.

Spread of the innovation

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