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, hedging, stance, academic discourse, annotation, concordance

  • Number of questions

    5

  • Created on

  • Generation source

    Generated by GenOER Admin in collaboration with agent GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to apply corpus-based methods to identify and interpret hedging and stance markers in academic journal articles across disciplines. Tasks include designing and sampling comparative corpora, applying POS-tagging and manual annotation schemes, running concordance, collocation, keyword and frequency analyses, interpreting disciplinary/pragmatic variation, and justifying statistical validation and reliability choices; familiarity with tools (e.g., AntConc, Sketch Engine, Python/NLP) is assumed.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.