Sarah K. K. Luger

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Automated systems that can measure the difficulty and discrimination power of Multiple Choice Questions (MCQs) have value for both educators, who spend large amounts of time creating novel questions, and students, who spend a great deal of effort both practicing for and taking tests. Assistance in creating high-quality assessment instruments would be(More)
Assistance in creating high-quality exams would be welcomed by educators who do not have direct access to the proprietary data and methods used by educational testing companies. The current approach for measuring question difficulty relies on models of how good pupils will perform and contrasts that with their lowerperforming peers. Inverting this process(More)
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