• “Getting to Green”: Developing Analysis with Generative AI

    Author(s):
    Miranda (Yaggi) Rodak (see profile)
    Date:
    2023
    Group(s):
    Digital Pedagogy, English Literature, Open Educational Resources
    Subject(s):
    Writing, Artificial intelligence, Teaching, Digital communications
    Item Type:
    Course material or learning objects
    Permanent URL:
    https://doi.org/10.17613/kvk3-hh38
    Abstract:
    Students in analytical writing courses can struggle to fully grasp the difference between observing/describing features of a text and making interpretive claims rooted in close reading and analysis of those features. This multi-part class activity uses color coding and generative AI to establish a clearer framework for students to understand the relationship, as well as the critical distinctions, between observation or description and close reading or analysis. It also helps students identify the affordances and limitations of generative AI in helping them iterate, analyze, produce, and revise writing, as well as models for them strong iterative writing practices, including identifying areas/opportunities for revision and articulating strategies and next steps to pursue revision.
    Notes:
    This scaffolded lesson plan is highly flexible and adaptable to a variety of contexts, but it is designed to support instruction in courses focused on analytical writing, such as first-year composition, intensive writing, literature, rhetoric, etc.
    Metadata:
    Status:
    Published
    Last Updated:
    4 months ago
    License:
    Attribution-NonCommercial-ShareAlike

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