Generative AI & Assessment

This webinar featuring international AI consultant and author Leon Furze explored how recent advances in GenAI have exposed the vulnerabilities in existing assessment methods, and offered proactive ideas and practical strategies for addressing the technology in classrooms.

Since the release of ChatGPT in 2022, Generative Artificial Intelligence has developed rapidly, including in mathematical reasoning, image recognition and generation, and other domains. This makes online assessment problematic in many contexts.

In 2023, Furze first introduced the AI Assessment Scale (AIAS) to help educators and students work together in understanding appropriate use beyond simple "use it or don't use it" policies. It has since been adopted by schools worldwide and featured by UNESCO. The session included a discussion of the AIAS and examples for different disciplines. 

Key Takeaways:

  • The AI Assessment Scale is a design tool, not a security measure - You can't just tell students what AI level to use; you must design assessments where AI use (or non-use) naturally serves the learning objectives

  • Start with learning goals, not AI policies - Always begin by asking "What knowledge and skills am I trying to assess?" before determining where AI fits in the assessment process

  • Faculty-level implementation works better than institutional mandates - AI means different things to math teachers vs. English teachers; discipline-specific approaches are more effective than one-size-fits-all policies

  • Students need foundational AI literacy before using the scale effectively - This includes understanding AI limitations, verification skills, ethics, and bias awareness - not just how to write prompts

  • Educator expertise is essential for quality AI integration - Without domain knowledge and understanding of AI capabilities, it's difficult to design meaningful AI-enhanced assessments or catch AI errors

  • Transparency and trust between students and educators enables better outcomes - When students can honestly communicate about their AI use, it leads to improved assessment design and learning opportunities

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