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Whitepaper · An AI-powered platform for institutions to measure, improve, and track learning outcomes
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Existing learning management systems track attendance, grades, and content delivery, but not learning itself.
Content is made available digitally, but it's hard to keep students engaged or customize content to context. Tools measure clicks and completions rather than progress and outcomes.
An AI-first learning platform built around outcomes
Jinso is the next-generation AI platform designed to understand, improve, and measure learning outcomes.
Using an adaptive and communicative model, Jinso integrates institutional systems with AI-driven pedagogy to measure and improve learning outcomes at scale. It combines:
This builds a complete learning infrastructure that tailors instruction to the competencies that matter most—customized to each student and institutional context.
Jinso’s platform personalizes instruction, delivers feedback in real time, and continuously assesses growth. It transforms learning from content consumption to measurable skill formation, where every interaction becomes a data point for improvement.
The Jinso learning engine operates as a closed feedback loop that connects learning intent to measurable outcomes. Each competency generates authentic tasks that are evaluated through a continuous CPA (Concept → Practice → Assessment) cycle. This allows learning to be tracked, adjusted, and validated in real time.