Metadata
Language & Literacy Undergraduate Apply Medium
Metadata
  • Subject

    Language & Literacy

  • Education level

    Undergraduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    corpus linguistics, register, academic writing, popular science, quantitative analysis, discourse 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 students' ability to design and carry out a corpus-based study comparing register features of academic research articles and popular science articles; tasks include constructing balanced corpora, preprocessing and annotating texts (tokenization, POS-tagging, lemmatization), selecting and applying analyses (keyword and frequency lists, collocation, n-grams, lexical density, nominalization, hedging, passive constructions, readability measures), using appropriate statistical tests and effect-size metrics, interpreting quantitative and qualitative results to identify register differences, and discussing methodological limitations and pedagogical implications.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.