Using NeuroIS Tools to Understand How Individual Characteristics Relate to Cognitive Behaviors of Students
Disciplines
Chemistry | Cognitive Neuroscience | Cognitive Psychology | Management Information Systems
Abstract (300 words maximum)
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 gender, medication affecting alertness, hand dexterity skills, and levels of athleticism were found to significantly correlate with cognitive load.
Primary Investigator (PI) Name
Adriane Randolph
Additional Faculty
Kimberly Cortes, Chemistry and Biochemistry, klinenbe@kennesaw.edu Cassidy Terrell, Biochemistry, terre031@r.umn.edu
Using NeuroIS Tools to Understand How Individual Characteristics Relate to Cognitive Behaviors of Students
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 gender, medication affecting alertness, hand dexterity skills, and levels of athleticism were found to significantly correlate with cognitive load.