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Professional Practice: Using Case Studies in Information Literacy Instruction Towards Career Readiness

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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 potential of case-based learning, or the use of case studies for information literacy instruction is explored within the context of information literacy for workplace readiness. Taking a constructivist approach, students were asked to use their professional experience to analyze a case study for information needs and resources, and then create a recommendation based on this evaluation. Student learning was assessed through similar reflective prompts applied to their own wine business plan. Using qualitative content analysis, reflections demonstrated students were able to use diverse information sources to apply to complex information needs, mirroring the complex information environment of the modern workplace. Results indicate case-based learning has value for information literacy for career readiness.

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Author information

Authors and Affiliations

  1. California State University, Fresno, USA

    Britt Foster

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  1. Britt Foster
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Correspondence to Britt Foster .

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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Foster, B. (2018). Professional Practice: Using Case Studies in Information Literacy Instruction Towards Career Readiness. 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_13

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  • DOI: https://doi.org/10.1007/978-3-319-74334-9_13

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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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