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Application of NeuroIS Tools to Understand Cognitive Behaviors of Student Learners in Biochemistry

In: Information Systems and Neuroscience

Author

Listed:
  • Adriane Randolph

    (Kennesaw State University)

  • Solome Mekbib

    (Kennesaw State University)

  • Jenifer Calvert

    (Kennesaw State University)

  • Kimberly Cortes

    (Kennesaw State University)

  • Cassidy Terrell

    (University of Minnesota Rochester)

Abstract

Cognitive load has received increased focus as an area that can be more richly explored using neuroIS tools. This research study presents the application of electroencephalography and eye tracking technologies to examine cognitive load of student learners in biochemistry. In addition to leveraging the Pope Engagement Index and eye tracking analysis techniques, we seek better understanding of the relationship that various individual characteristics have with the level of cognitive load experienced. While this study focuses on a particular STEM student population as they manipulate various learning models, it has implications for further studies in human-computer interaction and other learning environments.

Suggested Citation

  • Adriane Randolph & Solome Mekbib & Jenifer Calvert & Kimberly Cortes & Cassidy Terrell, 2020. "Application of NeuroIS Tools to Understand Cognitive Behaviors of Student Learners in Biochemistry," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane Randolph & Thomas Fis (ed.), Information Systems and Neuroscience, pages 239-243, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-28144-1_26
    DOI: 10.1007/978-3-030-28144-1_26
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