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Strategies for Addressing the Impact of Generative AI in Education

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Embracing Authenticity in Academic Writing

In an era dominated by AI, how can educators assess genuine student effort? Nikita Bezrukov shares innovative solutions from his teaching experience at the University of Pennsylvania.

Key Insights:

  • Version Histories: Assignments must now include detailed version histories, revealing the evolution of ideas and providing insights into the writing process.
  • Trajectory Grading: 60% of grades depend on the development of ideas through drafts, while 40% evaluates the final product.
  • Encouraging Improvement: This approach encourages students to revise thoughtfully and work consistently, combating the urge to rely on AI shortcuts.

Bezrukov discovered that tracking the writing journey not only alleviated concerns about plagiarism but also transformed grading from detective work to a more engaging coaching experience.

Join the Conversation! Are you an educator facing similar challenges? Share your thoughts and redefine academic integrity in the age of AI!

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