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Active Learning Techniques for Preparing NeuroIS Researchers

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Information Systems and Neuroscience (NeuroIS 2021)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 52))

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Abstract

The field of neuroIS is rapidly evolving, and there is a need to create a research and work force at various levels of the academy ranging from undergraduate students to professors. Motivation is not an issue with neuroIS as students are typically excited to learn, but how do we teach them the skills they need to succeed? Active learning is a pedagogical technique that has a natural fit with neuroIS. It focuses on the higher levels of learning that are essential in the field. This paper is an introduction to active learning for the benefit of the neuroIS community. It discusses examples of what can be done as well as challenges that need to be overcome.

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Author information

Authors and Affiliations

  1. Department of Management Information Systems, Temple University, Philadelphia, PA, USA

    Arjan Raven

  2. Department of Information Systems and Security, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

Authors
  1. Arjan Raven
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  2. Adriane B. Randolph
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Corresponding author

Correspondence to Adriane B. Randolph .

Editor information

Editors and Affiliations

  1. Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria and University of Linz, Steyr/Linz, Austria

    René Riedl

  3. University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. HEC Montréal, Montréal, QC, Canada

    Pierre-Majorique Léger

  5. Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

  6. Graz University of Technology, Graz, Austria

    Gernot Müller-Putz

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Raven, A., Randolph, A.B. (2021). Active Learning Techniques for Preparing NeuroIS Researchers. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Müller-Putz, G. (eds) Information Systems and Neuroscience. NeuroIS 2021. Lecture Notes in Information Systems and Organisation, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-030-88900-5_19

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  • DOI: https://doi.org/10.1007/978-3-030-88900-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88899-2

  • Online ISBN: 978-3-030-88900-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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