Locating question difficulty through explorations in question space

摘要

Three different search effectiveness measures were used to classify 50 question narratives as easy or hard. Each measure was then encoded onto a spatial representation of interquestion similarity. Discriminant analysis based on the resulting map was able to predict question difficulty with approximately 80% accuracy, robust across multiple measures. Implications for the design of digital document collections are discussed.