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Searching Interactions and Perceived Learning

  • Xiangmin ZhangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9753)

Abstract

This research investigates the user’s learning during interactive searching process, to find out what search behaviors would be associated with the user’s perceived learning, and whether or not the user’s perceived learning could be reflected in the existing search performance measures, so that such measures could also be used for indicating learning during searching process. The research used a data set collected by a research project on searching, which involved 35 participants at a major US university. The results show that the number of documents saved is significantly correlated with perceived learning for all search topics. None of the search performance measures is correlated with perceived learning in general. However, for specific topics, one of the performance measures, Recall, is significantly correlated with perceived learning. The results and the implications of the findings are discussed.

Keywords

Searching interactions Learning by searching Perceived learning Searching behavior Search performance 

Notes

Acknowledgement

The author thanks the Personalization of the Digital Library Experience research team (supported by IMLS grant LG 06-07-0105-07) who collected and shared the data, without which this work would not have been accomplished.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Wayne State UniversityDetroitUSA

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