Underneath the friendly interface, C4P4CITY is a research project turned into a product. We mix ideas from learning science, cognitive psychology, human-computer interaction and applied AI to study the transformation: time + emotion + challenge → competence.
Instead of just recording “completed a course” or “watched a video”, we track effective, verified time on task and correlate it with performance on tasks and questions. That gives us TTC curves per person, topic and resource.
Each topic is broken into concepts and challenges. By analyzing answers, explanations and problem-solving steps, we estimate mastery per concept and watch how it changes over time.
Using privacy-conscious signals from the camera and microphone, we approximate emotional patterns: frustration, calm, engagement, confidence. We’re interested in how emotional stability supports or blocks learning.
The point of C4P4CITY is not to claim we know everything about learning. The point is to measure carefully and confront our models with reality:
Over time, this becomes a body of evidence any school, university or company can inspect: what does it actually take to learn this?
Measuring humans comes with responsibility. C4P4CITY has some clear red lines:
We start humble: a few pilots in schools and teams, one topic at a time. But the long-term vision is bigger:
If we do this right, future generations won’t guess how long it takes to learn something — they’ll know.