Refining Rubrics & Assessments: AI as Design Support – Part 2
This blog post is a continuation from “Refining Rubrics & Assessments: AI as Design Support – Part 1“. Using AI to Refine Rubric Language In the previous post, I gave an assignment prompt to Copilot (as that’s the recommended tool at Oregon State University) and asked it to complete the task. For reference, here is the task. Rubrics are often the weakest link in assessment design, particularly when descriptors rely on vague phrases like “meets expectations” or “demonstrates understanding.” One way to evaluate rubric clarity is to ask AI to self-assess its own response using the rubric criteria. If the model can plausibly justify a high score despite shallow reasoning or inconsistent logic, the rubric may not be clearly distinguishing … Refining Rubrics & Assessments: AI as Design Support – Part 2