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

1 Scopus citations

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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