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PropertyG · Google SearchData for July 2026

educationalAlignment

schema.org/educationalAlignment

An alignment to an established educational framework.

This property should not be used where the nature of the alignment can be described using a simple property, for example to express that a resource teaches or assesses a competency.

Definition from the Schema.org vocabulary (English).

Estimated domains

1K - 10K stable

Ranking position#917 of 5,545
Google eligibleYes
Used on types2

Trend over time

Domain tier in each available month.

Usage in Google Search

Documented Google contexts where this property is required or recommended for rich results.

  • Gon typeQuiz1K - 10KG
    Recommendededucation-qa

    AlignmentObject The quiz's alignment to an established educational framework. This property can be repeated to align the quiz with a field of study or domain, and the target grade or educational standard. { "@type": "Quiz", "educationalAlignment": [] }

  • Gon typeQuiz1K - 10KGas educationalAlignment.alignmentType
    Recommendededucation-qa

    Text A category of alignment between the learning resource and the framework node for the quiz. Google Search uses the LRMI standard. Repeat the alignmentType property to specify both the field of study and the target grade or educational standard. To specify the field of study or domain of the quiz, set the alignmentType property to the educationalSubject value. To specify the target grade or educational standard of the quiz, set the alignmentType property to the educationalLevel value. Here's

  • Gon typeQuiz1K - 10KGas educationalAlignment.targetName
    Recommendededucation-qa

    Text The name of a node of an established educational framework. For example: "Grade 7: Cell Structure". { "@type": "Quiz", "educationalAlignment": [ { "@type": "AlignmentObject", "targetName": "Grade 7: Cell Structure" } ] }

Used on types

Expected value types

Legend

PropertySchema typeData typeEnumeration

Tiers indicate the number of unique domains using the term. They are intentionally approximate to reduce noise and protect site privacy. How to read the data.