Using NeuroIS Tools to Understand How Individual Characteristics Relate to Cognitive Behaviors of Students

Tanesha Jones, Adriane B. Randolph, Kimberly Cortes, Cassidy Terrell

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    NeuroIS tools have increasingly been used to examine cognitive behaviors in educational settings. Here we present results of ongoing work applying neurophysiological tools to examine the cognitive load of student learners in the context of chemistry education. In particular, we investigate how individual characteristics relate to the Pope Engagement Index for students interacting with an information system for visualizing molecules. Characteristics such as meditation, levels of athleticism, and medication affecting alertness were found to significantly and positively correlate with cognitive load.

    Original languageEnglish (US)
    Title of host publicationInformation Systems and Neuroscience - NeuroIS Retreat 2020
    EditorsFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Thomas Fischer
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages181-184
    Number of pages4
    ISBN (Print)9783030600723
    DOIs
    StatePublished - 2020
    EventVirtual conference NeuroIS Retreat, 2020 - Vienna, Austria
    Duration: Jun 2 2020Jun 4 2020

    Publication series

    NameLecture Notes in Information Systems and Organisation
    Volume43
    ISSN (Print)2195-4968
    ISSN (Electronic)2195-4976

    Conference

    ConferenceVirtual conference NeuroIS Retreat, 2020
    Country/TerritoryAustria
    CityVienna
    Period6/2/206/4/20

    Bibliographical note

    Funding Information:
    1 This work was funded by the National Science Foundation under Grant Number 1711425.

    Publisher Copyright:
    © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

    Keywords

    • Chemistry student learners
    • Cognitive load
    • EEG
    • Individual characteristics
    • Pope engagement index

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