Most learn-to-earn models end at simple quizzes. IOPn advances the concept by tracking knowledge progression on-chain—spanning discovery, comprehension, and applied understanding.
Each learning milestone becomes verifiable, composable, and reusable across the OPN ecosystem. This enables protocols to reward proven capability rather than superficial engagement, while allowing contributors to demonstrate expertise without relying on traditional credentials or gatekeepers.
This is education evolving into infrastructure. And it’s why @IOPn_io isn’t merely educating users—it’s cultivating the next generation of active, high-signal network participants. @xeetdotai
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
Most learn-to-earn models end at simple quizzes. IOPn advances the concept by tracking knowledge progression on-chain—spanning discovery, comprehension, and applied understanding.
Each learning milestone becomes verifiable, composable, and reusable across the OPN ecosystem. This enables protocols to reward proven capability rather than superficial engagement, while allowing contributors to demonstrate expertise without relying on traditional credentials or gatekeepers.
This is education evolving into infrastructure.
And it’s why @IOPn_io isn’t merely educating users—it’s cultivating the next generation of active, high-signal network participants.
@xeetdotai