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A comparison of techniques for measuring sensemaking and learning within participant-generated summaries

<17> JASIST (impact factor 2.081 in 2013) is the leading international journal for computer science research that focuses on human searching behaviour. This newly published article focused on ways to evaluate whether search tools help people to better achieve their higher-level aims of learning, rather than simply faster or better results. Higher-level evaluation paradigms are considered a Grand Challenge in Information Retrieval (Belkin, SIGIR Forum 2008). This paper contributes a new technical metric for measuring knowledge change grounded in established learning theories from Education, and the first comprehensive rigorous comparison of two commonly used metrics and our own.