Data, Analytics, and Integrity
Examine difficulty and discrimination indices to spot flawed items. If high performers miss a question more than low performers, investigate ambiguity or misalignment. Revise, retest, and document changes. Share one item you improved and what your data revealed about learning.
Data, Analytics, and Integrity
Design assessments that value thinking over trivia. Use open-book tasks, unique datasets, and oral defenses to discourage shortcuts. Integrity grows when tasks are meaningful and support is transparent. Comment with a challenge you face, and we will workshop strategies together.
Data, Analytics, and Integrity
Analytics should illuminate, not surveil. Share only necessary data, explain how it is used, and offer opt-ins where possible. Focus on patterns of support, not policing. If you want a privacy checklist, subscribe and we will send our concise guide.
Data, Analytics, and Integrity
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