Metadata
Language & Literacy Undergraduate Apply Medium-
Subject
Language & Literacy
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Education level
Undergraduate
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Cognitive goals
Apply
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Difficulty estimate
Medium
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Tags
corpus linguistics, register, academic writing, popular science, quantitative analysis, discourse analysis
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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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.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.