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...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Communication Vol. 76; no. 1; pp. 60 - 78
Autores principales:	Coronel, Jason C, Sweitzer, Matthew, Bonus, James Alex, Dore, Rebecca, Lerner, Blue
Formato:	Artículo
Publicado:	Oxford University Press / USA Feb2026
Materias:	Machine learning Eye tracking Science education Multimedia communications Message processing (Telecommunication) Artificial neural networks
Acceso en línea:	Ver este registro en EBSCOhost