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Fusing theory-guided machine learning and bio-sensing: considering time in how children learn science from dynamic multimedia.

A new era of message processing research will emerge from the convergence of powerful machine learning algorithms with dynamic data from everyday devices equipped with biological sensors. Our study takes critical steps into this era by integrating theory-guided artificial neural networks with eye mo...

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Published in:Journal of Communication Vol. 76; no. 1; pp. 60 - 78
Main Authors: Coronel, Jason C, Sweitzer, Matthew, Bonus, James Alex, Dore, Rebecca, Lerner, Blue
Format: Article
Published: Oxford University Press / USA Feb2026
Subjects:
Machine learning
Eye tracking
Science education
Multimedia communications
Message processing (Telecommunication)
Artificial neural networks
Online Access:View this record in EBSCOhost