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Evaluating Student Performance in the Age of AI

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Navigating AI in Education: Insights from Austin Z. Henley

In the rapidly evolving landscape of AI, educators are adapting their assessment strategies. Austin Z. Henley shares key insights on how professors are responding to AI’s influence on student learning.

Key Strategies Examined:

  • Raise the Bar: Increased complexity in assignments empowers students to harness AI’s capabilities.

  • Head in the Sand: Some educators choose to ban AI, risking student disengagement.

  • Underspecify Assignments: Open-ended tasks encourage critical thinking, promoting deeper engagement with AI tools.

  • Paper Assessments: A return to in-class tests without devices to ensure authentic understanding.

  • Oral Assessments: Students must defend their solutions during office hours, demonstrating true comprehension.

  • Process Over Results: Grading focus shifts to collaboration, participation, and the learning journey.

  • ChatGPT Utilization: Incorporating AI conversations into assignments can enhance engagement and accountability.

What strategies resonate with you in adapting education for an AI-driven future? Share your thoughts!

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