Metadata
Education Graduate Apply Medium
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Metadata

  • Subject

    Education

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    item response theory, 1PL, 2PL, calibration, item discrimination, higher education

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess the ability to apply 1PL (Rasch) and 2PL IRT models to calibrate and evaluate multiple-choice assessments in higher education: estimate item difficulty and discrimination, check model assumptions (unidimensionality, local independence), evaluate model fit and test/item information, compare 1PL vs 2PL outcomes, detect misfitting items and DIF, and make evidence-based recommendations for item revision and reporting using common software workflows.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.