Metadata
Language & Literacy Undergraduate Apply Medium- 
        SubjectLanguage & Literacy 
- 
        Education levelUndergraduate 
- 
        Cognitive goalsApply 
- 
        Difficulty estimateMedium 
- 
        Tagscorpus linguistics, register, academic writing, popular science, quantitative analysis, discourse analysis 
- 
        Number of questions5 
- 
        Created on
- 
        Generation sourceFully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini 
- 
        LicenseCC0 Public domain 
- 
        PromptAssess 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.
Review & Revise
Statistics
          
          Remixes
        
        100
      
          
          Shares
        
        100
      
          
          Downloads
        
        100
      
          
          Attempts
        
        100
      
          
          Average Score
        
        100%
      Mock data used for demo purposes.