Methods for Measuring the Influence of Concept Mapping on Student Information Literacy

Abstract

Research traditions in education and information retrieval have grown up in parallel worlds, although they share a theoretical foundation that profoundly influences research methodology and best practice in their respective domains. They also share a common problem: the need for a method for analyzing sparse, quantifiable data collected in qualitative studies with small sample sizes. This paper explores the theory of expected information, which uses formulas derived from the Fano measure (1961) and Bayesian statistics (1764), and demonstrates its application in a study on the effects of concept mapping on the searching behavior of tenth-grade biology students.

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