How do our beliefs, motivations, and environments shape how we learn and grow?
Decades of research have shown that motivation to learn is shaped by whether people believe they can improve, whether they feel they belong, and whether the places they learn in make it safe to struggle and ask for help.
How can we use this research to help everyone become effective users of generative AI?
What it takes
Four parts, in schools, communities, and workplaces.
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1Understand
why people use GenAI the way they do
A model of how people decide when and how to use GenAI (Trzesniewski, Gripshover, & Master, 2026).
See the model → -
2Measure
how and why people use GenAI, not just how often
New survey measures of how students use GenAI and why.
See the questions and first tests → -
3Build capacity
in the people who shape where others learn and work
Instructors and managers learn GenAI on their own work, then use it to build cultures of growth. A complete system is designed to do this at scale.
How it works → -
4Improve
by putting the data in people's hands
GenAI turns what thousands of people say into interactive reports. Students, instructors, administrators, and managers ask their own questions of the data.
See an example report →
Hi, I'm Kali
I'm a developmental psychologist and professor at the University of California, Davis. For over 25 years I've studied how people learn and grow, and worked alongside schools, youth programs, universities, governments, and employers to translate that research into programs.