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    Practice Problem Schema Generator — Mark Up Quizzes and Questions

    Generate valid PracticeProblem JSON‑LD for learning pages. Clarify question text, type, correct answer, and choices so search engines understand your content.

    Try the PracticeProblem Generator

    Why many learning pages underperform

    Pain points we solve

    • Correct answers are missing or modeled as plain text instead of Answer objects.
    • Suggested answers lack structure or mix explanations with choices.
    • Question type is vague or inconsistent across pages (eduQuestionType).
    • Language and audience context are omitted, reducing relevance.

    How SwiftSchema helps

    Solution

    The PracticeProblem generator focuses on essentials: a clear name, the question text, an `eduQuestionType` (for example, math, physics), one `acceptedAnswer`, and an array of `suggestedAnswer` entries.

    You can also add audience and language context to improve discovery, and the tool outputs clean, copy‑ready JSON‑LD that validates consistently.

    How it works

    How it works

    1. Choose PracticeProblem in the generator below.
    2. Enter the problem name, question text, and eduQuestionType.
    3. Add one acceptedAnswer (Answer with text) and any suggestedAnswer choices.
    4. Optionally include audience, topic (about), and language.
    5. Copy JSON or Script, paste into the problem page, and validate in the Rich Results Test.
    Generate PracticeProblem JSON‑LD

    Paste once per problem page. Validate. Ship.

    What is PracticeProblem structured data?

    PracticeProblem describes an educational question or exercise with its text, type, choices, and the correct answer. Use it on pages that present practice items so learners and search engines can interpret your content clearly.

    Eligibility & Status

    Practice problems are supported when quality and policy requirements are met. Eligibility depends on the page content, clarity of the problem and answers, and structured data quality; special displays are not guaranteed.

    Why practice markup matters

    • Learning signals: Structured answers help search surfaces highlight interactive learning content.
    • Catalog consistency: Keeps question types, difficulty, and audiences aligned across your quiz library.
    • Answer integrity: Differentiating accepted vs suggested answers avoids confusing learners.
    • Localization:
      inLanguage
      and audience roles tell search who the problem is for.

    Essential properties to include

    • name
      : Short problem title.
    • text
      : Full question prompt (without answer).
    • eduQuestionType
      : e.g., math, physics, language.
    • acceptedAnswer
       (
      Answer
      with
      text
      ).
    • suggestedAnswer
       array of
      Answer
      entries.
    • inLanguage
      ,
      learningResourceType
      ,
      about
      ,
      audience
       (optional).

    Preparing learning content before generating schema

    1. Curate question text: clear prompt, no leftover HTML.
    2. Confirm correct answers with SMEs and note explanations on page.
    3. Prepare distractors for
      suggestedAnswer
      .
    4. Tag topics (
      about
      ) and difficulty/grade level.
    5. Identify audience roles (
      audience.educationalRole
      ).
    6. Set language/temporal coverage (exam period, semester).

    Implementation workflow inside SwiftSchema

    1. Select PracticeProblem in the generator.
    2. Enter
      name
      ,
      text
      ,
      eduQuestionType
      .
    3. Add
      acceptedAnswer
      (correct solution).
    4. Add multiple
      suggestedAnswer
      entries for choices.
    5. Include optional
      about
      ,
      audience
      ,
      inLanguage
      .
    6. Export JSON-LD, embed it on the question page, validate via Rich Results Test.

    Troubleshooting & QA

    • Missing correct answer: ensure
      acceptedAnswer
      is filled.
    • Plain strings: wrap choices in
      Answer
      objects.
    • Vague question types: use concise
      eduQuestionType
      .
    • Language mismatches: align
      inLanguage
      with on-page content.

    Maintenance and governance

    • Review question banks periodically to confirm answers remain correct.
    • Update schema when you revise prompts, answers, or translations.
    • Keep
      lastReviewed
      metadata current and document ownership (curriculum/content team).

    Common Errors & Fixes

    • Missing correct answer: include an
      acceptedAnswer
      with an
      Answer
      and its
      text
      .
    • Wrong data shape: use
      Answer
      objects for accepted/suggested answers, not plain strings.
    • Vague type: provide a concise
      eduQuestionType
      (for example,
      math
      ).
    • Bloated choices: keep
      text
      concise; move explanations to page content.

    Required properties

    • name
    • text
    • eduQuestionType

    Recommended properties

    • learningResourceType
    • about.name
    • temporalCoverage
    • audience.educationalRole
    • suggestedAnswer.text
    • acceptedAnswer.text
    • inLanguage
    Minimal PracticeProblem JSON-LD
    Validate
    {
  "@context": "https://schema.org",
  "@type": "PracticeProblem",
  "name": "Add fractions",
  "text": "What is 1/3 + 1/6?",
  "eduQuestionType": "math",
  "suggestedAnswer": [
    {
      "@type": "Answer",
      "text": "1/6"
    },
    {
      "@type": "Answer",
      "text": "2/6"
    },
    {
      "@type": "Answer",
      "text": "3/6"
    }
  ],
  "acceptedAnswer": {
    "@type": "Answer",
    "text": "1/2"
  },
  "inLanguage": "en"
}

    FAQs

    What is PracticeProblem structured data for?Show
    It describes educational questions/problems with fields for question text, type, answers, and audience — improving search understanding for learning content.
    How do I mark the correct answer?Show
    Use `acceptedAnswer` with an `Answer` object and a `text` field containing the correct solution.
    Can I include multiple suggested answers?Show
    Yes. Use multiple `suggestedAnswer` entries (each an `Answer` with `text`).

    Related types

    Browse all schema types

    References

    Generate Practice Problem schema

    Fill in page details, copy JSON or Script, and validate.

      Schema Type

      🧠 Practice Problem Schema Generator

      Create interactive practice problems with multiple choice questions using structured data. Mark up quizzes with correct and suggested answers to qualify for education-rich results.

      Generated Schema

      Validate your schema here.