USE OF POPE ENGAGEMENT INDEX TO MEASURE COGNITIVE LOAD OF PHYSICAL MODELING ACTIVITIES IN ORGANIC CHEMISTRY

<p>Understanding how students learn and process information is critical to developing physical modeling activities that facilitate student learning by decreasing cognitive load in the working memory. Optimizing cognitive load during physical modeling activities in organic chemistry is the key to effective and efficient learning. Using EEG (electroencephalogram) and eye tracking technologies, researchers measured and recorded the cognitive processing of participants while they completed a chiral physical modeling activity. Analysis of the data using the Engagement Index developed by Pope <em>et al</em> provided information necessary to develop curriculum that does not undermine student learning due to excessive cognitive load. </p>

Name thesis:degree_name

Master of Science in Chemical Sciences (MSCB)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Chemistry

Year dc:date.available

2019

Author dc:creator

• Calvert, Jenifer

Contributors dc:contributor

• Kimberly Cortes
• Adriane Randolph
• Thomas Leeper

• cognitive load
• EEG
• electroencephalogram
• organic chemistry
• physical modeling
• chirality
• Chemistry
• Science and Mathematics Education

Repository record dc:identifier

https://digitalcommons.kennesaw.edu/mscs_etd/25

OAI identifier oai:identifier

oai:digitalcommons.kennesaw.edu:mscs_etd-1026