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Information Literacy and Learning in Higher Education: A Thought Experiment

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Information Literacy in the Workplace (ECIL 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 810))

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Abstract

The nature of the relationship between information literacy (IL) and learning is important for academic librarianship and higher education. This paper will use a philosophical tool to investigate this relationship – a thought experiment. This is a type of creative narrative meant to advocate for or against a certain idea. The thought experiment will provide evidence for a strong connection between IL and learning. This suggests that one’s theoretical IL position implies certain commitments with regard to what learning is and how it should be fostered in higher education. Therefore, one method to progress IL theory is to look to learning theory. Explicit considerations on the nature of learning can yield more nuanced understandings of IL.

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Author information

Authors and Affiliations

  1. Libraries, Purdue University, West Lafayette, IN, USA

    Michael Flierl

Authors
  1. Michael Flierl
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Correspondence to Michael Flierl .

Editor information

Editors and Affiliations

  1. Hacettepe University, Beytepe, Ankara, Turkey

    Serap Kurbanoğlu

  2. University of Paris-Est, Champs-sur-Marne, France

    Joumana Boustany

  3. University of Zagreb, Zagreb, Croatia

    Sonja Špiranec

  4. University of California (UCLA), Los Angeles, California, USA

    Esther Grassian

  5. University of California (UCLA), Los Angeles, California, USA

    Diane Mizrachi

  6. University of Texas, Austin, Texas, USA

    Loriene Roy

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Flierl, M. (2018). Information Literacy and Learning in Higher Education: A Thought Experiment. In: Kurbanoğlu, S., Boustany, J., Špiranec, S., Grassian, E., Mizrachi, D., Roy, L. (eds) Information Literacy in the Workplace. ECIL 2017. Communications in Computer and Information Science, vol 810. Springer, Cham. https://doi.org/10.1007/978-3-319-74334-9_64

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  • DOI: https://doi.org/10.1007/978-3-319-74334-9_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74333-2

  • Online ISBN: 978-3-319-74334-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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