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Modeling Online Learning Performance with Biometrics: Current Study and Future Directions

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  • As the number of students and faculty involved in online learning in recent decades has increased, we recognize that there is a limited understanding of how learners react, interact, behave, and are served by the various components in the information delivery processes. When learning online without an instructor present in real-time, we need to understand the role of the learners’ cognitive load, emotions, and visual attention. This paper describes an experiment examining how engagement, cognitive load and visual attention mediate the effect of data representations and highlighting on learning performance. The results showed that in addition to tabular representations, highlighting significantly increased visual attention and decreased cognitive load, which was related to better learning performance.
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  • Sun, Y., & Nembhard, D. A. (2022). Modeling online learning performance with biometrics: Current study and future directions. White Paper. Corvallis, OR: Oregon State University Ecampus Research Unit.
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file details SunNembhard2022.pdf 2022-04-14 Öffentlich Herunterladen