What are evaluators?
You use evaluators to measure the quality of materials created by AI-powered edtech tools. Each evaluator:- Measures aspects of pedagogical alignment
- Identifies areas for improvement
- Supports the design of consistent, effective learning experiences
Evaluators and Learning Commons
Evaluators help you build evidence-based tools that support student learning and whole child development. Learning Commons works to close the gap between AI innovation and learning science by: Anchoring in learning scienceWe collaborate with experts in learning science and rubric development, including
Student Achievement Partners ↗, CAST ↗, and Achievement Network (ANet) ↗. Working with pedagogical experts
We translate expert insight into ground-truth datasets that reflect real teaching and learning principles. Building, verifying, and shipping
We develop and validate software that can evaluate text the way an expert would.
Our approach to building evaluators\
You can use our evaluators to measure key dimensions that define high-quality AI-generated content. We follow a repeatable, research-informed process to define, test, and build evaluators that edtech developers can use to assess their outputs reliably.