Using Biometric Tools to Understand the Relationship Between Individual Characteristics and Cognitive Abilities
Primary Investigator (PI) Name
Dr. Adriane B. Randolph
Abstract
Students in the field of STEM often struggle with understanding bigger concepts, problem solving, and retaining information during the learning process. It is imperative to understand the elements of cognitive learning by assessing each student and collecting data on student performance. This research study presents a unique perspective using a 3D modeling approach; and mobile brain-computer interface technologies, such as electroencephalogram (EEG), and eye tracking technologies to uncover cognitive challenges. Understanding differences in various cognitive tasks such as meditation, athleticism, and biometric computer usage between males and females could ultimately improve the burden that come with cognitive impairments. While this study focuses on the general STEM student population, it has implications for further studies in various population such as geriatrics and individuals struggling with memory loss disorders.
Disciplines
Biochemistry | Business Analytics | Cognitive Neuroscience | Management Information Systems | Science and Mathematics Education
Using Biometric Tools to Understand the Relationship Between Individual Characteristics and Cognitive Abilities
Students in the field of STEM often struggle with understanding bigger concepts, problem solving, and retaining information during the learning process. It is imperative to understand the elements of cognitive learning by assessing each student and collecting data on student performance. This research study presents a unique perspective using a 3D modeling approach; and mobile brain-computer interface technologies, such as electroencephalogram (EEG), and eye tracking technologies to uncover cognitive challenges. Understanding differences in various cognitive tasks such as meditation, athleticism, and biometric computer usage between males and females could ultimately improve the burden that come with cognitive impairments. While this study focuses on the general STEM student population, it has implications for further studies in various population such as geriatrics and individuals struggling with memory loss disorders.