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Measuring Cognitive Load: A Comparison of Self-report and Physiological Methods


Abstract This study explored three methods to measure cognitive load in a learning environment using four logic puzzles that systematically varied in level of intrinsic cognitive load. Participants' perceived intrinsic load was simultaneously measured with a self-report measure--a traditional subjective measure--and two objective, physiological measures based on eye-tracking and EEG technology. In addition to gathering self-report, eye-tracking data, and EEG data, this study also captured data on individual difference variables and puzzle performance. Specifically, this study addressed the following research questions: 1. Are self-report ratings of cognitive load sensitive to tasks that increase in level of intrinsic load? 2. Are physiological m... (more)
Created Date 2013
Contributor Schink Joseph, Stacey (Author) / Atkinson, Robert K (Advisor) / Johnson-Glenberg, Mina (Committee member) / Nelson, Brian (Committee member) / Klein, James (Committee member) / Arizona State University (Publisher)
Subject Educational technology / cognitive load
Type Doctoral Dissertation
Extent 98 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Educational Technology 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis