I noticed a recurring pattern in the AI-generated quiz questions. In many cases, the correct answer is noticeably longer and more detailed than the distractors. This creates an unintended test-taking shortcut where learners can often guess the answer based on answer length rather than understanding the material.
Since the quizzes appear to be AI-generated, I suggest adding a quiz-generation skill/prompt that explicitly checks for and prevents answer-length bias before publishing. For example:
Ensure all answer choices have roughly similar length.
Avoid making the correct answer significantly more detailed than distractors.
Add a validation step that measures answer-length variance.
Regenerate questions that fail the validation.
Optionally shuffle and review distractors for plausibility.
This issue appears in most of the quizzes I have tried. The pattern makes the assessments less effective because learners can exploit formatting cues rather than demonstrating knowledge.
I noticed a recurring pattern in the AI-generated quiz questions. In many cases, the correct answer is noticeably longer and more detailed than the distractors. This creates an unintended test-taking shortcut where learners can often guess the answer based on answer length rather than understanding the material.
Since the quizzes appear to be AI-generated, I suggest adding a quiz-generation skill/prompt that explicitly checks for and prevents answer-length bias before publishing. For example:
Ensure all answer choices have roughly similar length.
Avoid making the correct answer significantly more detailed than distractors.
Add a validation step that measures answer-length variance.
Regenerate questions that fail the validation.
Optionally shuffle and review distractors for plausibility.
This issue appears in most of the quizzes I have tried. The pattern makes the assessments less effective because learners can exploit formatting cues rather than demonstrating knowledge.