Metadata
Language & Literacy Graduate Create Hard
Metadata
  • Subject

    Language & Literacy

  • Education level

    Graduate

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    corpus linguistics, rubric design, automated scoring, EAL, genre analysis

  • 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 candidate’s ability to design a corpus-informed rubric and an accompanying automated scoring algorithm for genre-specific graduate-level academic writing by EAL students. Required elements: select/compile a representative genre corpus; define genre-specific analytic criteria (moves, cohesion, register, disciplinary lexis, grammar); create annotation and reliability procedures; specify feature extraction and explainable ML/NLP model pipeline; demonstrate validity, reliability, fairness for EAL writers; and outline deployment and ethical safeguards.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.