Higher education is in a value crisis, and generative AI is accelerating it. Instead of blaming AI, ProvenanceAI embraces it to restore meaning, trust, and curiosity in learning by illuminating the human process of learning and helping educators "see the shape of thinking."
Generative AI is accelerating the higher-ed value crisis like greenhouse gases in a closed system. But instead of blaming AI, we've embraced it—as a tool to restore meaning, trust, and curiosity in learning.
AI doesn't replace learning—it reshapes it. The right response is not policing outputs, but illuminating process.
This isn't a plagiarism tool. It's a reframe of how we understand learning, built for a world with AI—not in spite of it.
Inspired by Edward de Bono's EBNA principle. Built to reward progress, iteration, and momentum, not just final outputs.
In the ProvenanceAI Path, there is no such thing as an A and there is no such thing as an F. All inputs have value, and none have all the possible value. Excellence is iterative. Learning is visible when we track the distance between iterations.
ProvenanceAI measures student thinking impact, the distances their ideas travel.
The urgency is existential:
Getting AI out in the open and integrated with learning is the ONLY guaranteed way to prevent cheating—or better said, it's a guaranteed way to ensure learning.
Let's rebuild the value of education. Let's center the human—with AI as a partner, not a threat.
We're not trying to become "the LMS." We're building the missing system schools need in the AI era: process visibility and growth measurement.