This assignment, by Chris Mayer, is from the the book Teaching and Generative AI.
The summary from the site explains:
This chapter provides an overview of the current landscape and implications of Generative AI (GenAI) in higher education, particularly focusing on its role in academic writing and peer review . . . . The chapter . . . then offers an approach and lesson plans built around ChatGPT and John Bean’s hierarchy for error correction to guide in-class peer review in a first year writing class, as well as suggestions for how GenAI might be used for other disciplinary writing.
Key Features of This Assignment
- Integration of Generative AI in Peer Review
- This assignment explores the use of generative AI tools in the peer review process, allowing students to leverage AI for providing constructive feedback and enhancing the quality of academic writing.
- Development of Critical Evaluation Skills
- Students are encouraged to critically evaluate AI-generated feedback, learning to discern between useful insights and potential inaccuracies, thereby improving their own analytical and evaluative skills.
- Ethical Considerations in AI Usage
- The assignment includes a component on the ethical implications of using AI in academic contexts, prompting students to reflect on issues such as authorship, originality, and the responsible use of technology in scholarly work.
Find the full version of this resource in the book Teaching and Generative AI.