> ## 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 standards evaluators that measure whether educational content is aligned to a standard's sub-skills, or learning components.

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

Academic standards define what students are expected to know at each grade level, and they shape curriculum, instruction, and assessment.

Edtech developers align their products to these standards, but a standards tag is often a claim, not a guarantee:

* **A standard is rarely a single skill**
  * Most bundle several sub-skills (i.e., [learning components](/knowledge-graph/graph-reference/learning-components))
  * A question could address one learning component and ignore the rest for a given standard
* **Standards vary by jurisdiction**
  * A skill emphasized in one framework may be scoped differently, or absent entirely, in another
  * Alignment has to be judged against the framework in question, not a generic notion of a standard

Asking human experts to manually check educational content against every learning component, across a bank of hundreds of questions, does not scale.

## What we're building

Our Standards evaluators assess whether educational content aligns with a given standard's learning components.

| Output                                        | Description                                                                            |
| :-------------------------------------------- | :------------------------------------------------------------------------------------- |
| **Fine-grained, component-level data**        | Validates tagging and trust that an item measures the skill it claims to               |
| **Coverage maps**                             | Surface exactly which standards, and which learning components, a question bank covers |
| **Reasoning and feedback for every judgment** | Gives actionable feedback on turning *looks aligned* into *is aligned*                 |

Our evaluators judge whether a question aligns to standards at the [learning components](/knowledge-graph/graph-reference/learning-components) level:

| Evaluator                                                                        | Description                                                                                          |
| :------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------- |
| [**Math**](/evaluators/standards-evaluators/math) <EarlyAccessBadge size="xs" /> | Judges whether a math question aligns to math standards in a supported jurisdiction                  |
| **Literacy** <Badge size="xs">Coming soon</Badge>                                | Judges whether an English Language Arts question algins to ELA standards in a supported jurisdiction |