The Science Behind AI-Driven Training

At SchoolSims, we apply learning engineering (LE) principles to transform teacher preparation, ensuring educators receive cognitively authentic, scenario-based training that builds decision-making agility. Research by Bror Saxberg (2023) highlights how learning engineering leverages insights from cognitive science, behavioral research, and AI to optimize real-world training at scale.

SchoolSims integrates Cognitive Task Analysis (CTA) and Naturalistic Decision Making (NDM) into AI-driven simulations, allowing educators to engage in dynamic, adaptive experiences that mirror real-world challenges. By analyzing participant interactions, our simulations provide real-time feedback, personalized learning paths, and predictive cognitive performance models, refining teacher preparation through empirical, data-driven insights.

1-4

Download Research

Below you can access Dr. Saxberg's elaborate explanation of how learning engineering can enhance educational outcomes by applying evidence-based strategies.

Access Dr Saxburg's ACM Digital Library Article here. 

Access Dr. Saxburg's MIT Open Learning Keynote Slides here.

2-4

Explore SchoolSims

Interested in learning more about how simulation-based experiential learning can benefit your school?

Join schools nationwide in preparing your current & aspiring school leaders, teachers, and counselors with SchoolSims.
SchoolSims, 2024