> ## Documentation Index
> Fetch the complete documentation index at: https://docs.learningcommons.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Overview of literacy evaluators that measure qualitative text complexity dimensions like sentence structure, vocabulary, and grade-level appropriateness.

export const EarlyAccessBadge = ({size = "md", children}) => {
  return <Badge color="green" size={size} icon="flask">
      {children == null || children === "" ? "Early access" : children}
    </Badge>;
};

export const EarlyAccessCallout = ({children}) => <div className="eyebrow-callout not-prose rounded-xl border border-gray-200/80 p-5 dark:border-white/10" style={{
  marginBottom: "1rem",
  borderRadius: "4px"
}}>
    <div className="mb-3">
      <Badge color="green" size="md" icon="flask">
        Early access
      </Badge>
    </div>
    <div className="callout-body text-[15px] leading-relaxed text-gray-700 dark:text-gray-300">{children}</div>
    <style>{`.callout-body a { text-decoration: underline; text-decoration-color: #178251; }`}</style>
  </div>;

<EarlyAccessCallout>
  This functionality is actively evolving. Changes may occur as we expand
  capabilities and improve accuracy and reliability. Email
  [support@learningcommons.org](mailto:support@learningcommons.org) ↗ with your
  feedback or issues.
</EarlyAccessCallout>

## The problem

[Research](https://achievethecore.org/content/upload/Research%20Supporting%20the%20ELA%20Standards%20and%20Shifts%20Final.pdf) ↗ shows that students who consistently engage with complex texts are more likely to succeed in college and beyond. Yet despite their importance, complex texts often remain absent from classrooms.

* Quantitative measures of text complexity (e.g., Lexile or Flesch-Kincaid) are useful, but limited
* Qualitative measures are more accurate, but also more labor-intensive to assess

As AI-generated texts enter the classroom, **educators risk using content that looks grade-appropriate on the surface, but fails to meet the deeper demands of literacy development.**

## What we're building

Instead of giving a single complexity score, our literacy evaluators assess text across multiple qualititative dimensions.

They are anchored in Student Achievement Partners' [Qualitative Text Complexity rubric (SAP)](https://learnwithsap.b-cdn.net/app/uploads/2026/04/Qualitative-Text-Complexity-Rubric-Informational.pdf) ↗, giving you:

* Fine-grained data to ensure quality generated texts
* Actionable insights into why a text may be complex or not complex enough and how to best scaffold it for students

| Evaluator                                                                                                                 | Description                                                                                                                                       |
| :------------------------------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------ |
| [Grade Level Appropriateness](/evaluators/literacy-evaluators/grade-level-appropriateness) <EarlyAccessBadge size="xs" /> | Determines whether AI-generated text is suitable for a grade band and suggests scaffolding that can support instruction of the text               |
| [Subject Matter Knowledge](/evaluators/literacy-evaluators/subject-matter-knowledge) <EarlyAccessBadge size="xs" />       | Identifies the background knowledge a student needs to comprehend the generated text                                                              |
| [Vocabulary](/evaluators/literacy-evaluators/vocabulary) <EarlyAccessBadge size="xs" />                                   | Measures how challenging students may find the vocabulary of AI-generated texts                                                                   |
| [Conventionality](/evaluators/literacy-evaluators/conventionality) <EarlyAccessBadge size="xs" />                         | Analyzes how directly a text communicates its meaning                                                                                             |
| [Purpose](/evaluators/literacy-evaluators/purpose) <EarlyAccessBadge size="xs" />                                         | Assesses how clearly a text communicates its central purpose, and identifies elements that make that purpose accessible or challenging to readers |

Explore our [Literacy dataset](/evaluators/dataset/literacy-dataset) for the benchmark data that our literacy evaluators use to assess text complexity.