Predicting Student Performance Using Machine Learning in fNIRS Data

Increasing student involvement in classes has always been a challenge for teachers and school managers. In online learning, some interactivity mechanisms like quizzes are increasingly used to engage students during classes and tasks. However, there is a high demand for tools that evaluate the effici...

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Bibliographic Details
Main Authors: Amanda Yumi Ambriola Oku, João Ricardo Sato
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.622224/full