AI and it's Impact for Teachers

 

       Measuring Genuine Learning in the Age of AI

To confidently measure student learning, educators need to emphasise process and authenticity in their assessment design.

                        Strategies for Effective Assessment

1. Process-Oriented Assessment:

   • Focus: Assess the journey, not just the destination.

   • How: Require drafts, outlines, research notes, or process journals. This shows the student's unique thought progression, which AI struggles to replicate.

   • Example: Students submit multiple essay drafts, explaining revisions.

2. Authentic & Real-World Tasks:

   • Focus: Design assignments that demand critical thinking and application in novel, real-world scenarios

   • How: AI generates based on existing data; authentic tasks require original thought and context-specific application.

   • Example: Students design a solution for a local community issue, incorporating local data.

3. Metacognitive Reflection:

   • Focus: Have students reflect on their learning process and how they used tools (including AI).

   • How: Genuine personal insights and self-assessment are difficult for AI to fake.

   • Example: Students write a reflection on how they used (or didn't use) AI and why, and what they learned from the process.

4. Oral & Interactive Assessments:

   • Focus: Incorporate spoken components to assess real-time understanding and critical thinking.

   • How: Live discussions, presentations, or interviews require spontaneous responses that AI can't easily mimic.

   • Example: Students orally defend their project choices and answer questions on the spot.

5. Transparent AI Use & Citation:

   • Focus: Teach students responsible AI use, treating it as a learning tool.

   • How: Require disclosure and critical evaluation of AI outputs. This builds AI literacy, a crucial skill for the future workforce.

   • Example: Students must cite AI use and critique its generated responses, explaining their modifications.