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Data Mining for Information Literacy

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Data Mining: Foundations and Intelligent Paradigms

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 25))

Abstract

This paper argues for extending the scope of applying data mining towards making it a means to help people better understand, reflect and influence the information and information-producing and -consuming activities that they are surrounded by in today’s knowledge societies. Data mining is thereby seen as a means to furthering information literacy and specifically critical literacy. We discuss and extend classical definitions of these two constructs and derive critical data literacy and privacy literacy as two essential new key sub-competences. We describe an analysis framework for concrete efforts to use data mining in this way, structuring by techniques and objects and characterising by how principles of successful learning are supported. We then analyse a number of examples of current Web-based tools within this framework, investigating how they can further critical data literacy and privacy literacy. We conclude with an outlook on next steps in the proposed new field of Data Mining for Information Literacy.

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Authors and Affiliations

  1. Department of Computer Science, K.U. Leuven, B-3001, Heverlee, Belgium

    Bettina Berendt

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  1. Bettina Berendt
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  1. College of Letters & Science, Dept. Statistics & Applied Probability, University of California, Santa Barbara, South Hall 5504, Santa Barbara, 93106-3110, California, USA

    Dawn E. Holmes

  2. , School of Electrical and Information Eng, University of South Australia, Adelaide,, Mawson Lakes Campus, SA 5095, Australia

    Lakhmi C Jain

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Berendt, B. (2012). Data Mining for Information Literacy. In: Holmes, D., Jain, L. (eds) Data Mining: Foundations and Intelligent Paradigms. Intelligent Systems Reference Library, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23151-3_12

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  • DOI: https://doi.org/10.1007/978-3-642-23151-3_12

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