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This document elaborates on the benefits, effectiveness and contingency of the peer assessment process on Kritik. As an AI-driven tool with a sharp focus on academia, Kritik supports a wide range of pedagogical approaches and caters to diverse learning styles.

The author, Carine Marette, details the parameters that are set up for the peer assessment process to benefit the instructor and the students. This includes:

  • Randomization
  • Rubrics
  • Number of students participating in the assessment
  • Number of Evaluations required per student
  • Weighted Grading in Peer Evaluations
  • Anonymity

As someone new to Kritik, this document makes a strong case for the peer assessment methodology that encourages students to think about their work more closely, build skills that will be valuable in the future and for instructors to deliver a more engaging learning experience.

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