Metadata
Language & Literacy Graduate Create Hard
Metadata
  • Subject

    Language & Literacy

  • Education level

    Graduate

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    annotation schema, discourse analysis, rhetorical moves, multilingual NLP, automated feedback

  • 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 the ability to design an original annotation schema and an end-to-end computational framework to identify, model, and generate automated feedback on discourse-level rhetorical moves in multilingual doctoral theses across disciplines. Tasks include: specifying annotation categories and guidelines with inter-annotator reliability plans; ensuring cross-linguistic and cross-disciplinary validity; outlining modeling approaches (representations, sequence/classification models, evaluation metrics); designing feedback generation, user interaction, and ethical/deployment considerations. Provide justified design choices and sample annotated excerpts.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.