Overview
The Grade Level Appropriateness evaluator assesses whether AI-generated text is suitable for independent reading at a specified grade band. The evaluator considers:- Flesch-Kincaid grade level
- Word count
- Text structure – Organization complexity, connections between ideas, text features
- Language features – Vocabulary, sentence complexity, figurative vs. abstract
- Purpose – Explicitly vs. not explicitly stated, concrete vs. abstract
- Knowledge demands – Discipline-specific knowledge, references, allusions
- Student background knowledge – What students at a given grade level would already know
At a glance
The evaluator was built and validated using the model and temperature below (other configurations will produce different results and may have lower accuracy):
Getting started
Follow the Quickstart to start using this evaluator:Inputs
Output
Interpreting results
Evaluator release history
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Quickstart
Run an evaluator in the Evaluators playground, a Python notebook, or with
the SDK.