Metadata
Language & Literacy Graduate Apply Medium
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Metadata

  • Subject

    Language & Literacy

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    corpus linguistics, lexical bundles, graduate writing, n-grams, 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 ability to apply corpus-based methods to identify, extract, quantify, and interpret discipline-specific lexical bundles in graduate academic writing, including corpus design, n‑gram extraction and concordancing (e.g., AntConc/Sketch Engine), frequency/range/dispersion and association measures (MI, log‑likelihood), normalization/tagging, and reporting pedagogical or disciplinary implications.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.