Redefining the technical boundaries of AI education, pioneering a new global paradigm for educational AI
Why are 90% of AI education products "pseudo-intelligent"?
Traditional AI only provides content recommendations, unable to understand learners' cognitive processes and thinking patterns
Only looking at test scores, ignoring cognitive traces and ability formation paths during the learning process
Learning data scattered and unable to be assetized, cognitive abilities cannot be quantified or traded
Cognitive Trace Technology
Real-time recording of 100+ dimensions of learning behavior, building complete cognitive maps of learners, accurately predicting learning potential and development paths.
LPM Model Driven
Loading image...
Loading image...
Learner Digital Twin
Create AI digital avatars of learners, simulate different learning paths and outcomes, provide personalized optimal learning solutions.
Three Core AI Engines
Learning RWA
Transform learning processes into digital assets, quantify and trade cognitive abilities, connecting talent markets with capital markets.
Blockchain Powered
Loading image...
90%
AI Education Breakthrough Rate
100+
Learning Trace Dimensions
3
Core AI Engines
99.99%
System Uptime
Real feedback from leading educational institutions worldwide
"EduCor's cognitive trace capture technology allowed us to truly understand student learning processes for the first time. This changed our teaching methods."
Principal
Beijing International School
"The learner digital twin feature helped us create completely personalized learning paths for each student. Student success rates improved by 35%."
Director
Stanford Education Lab
"Cognitive ability tokenization opens a new connection between education and capital markets. This is the future of education."
Director
Shanghai Education Bureau