Neural alignment predicts learning outcomes in students taking an introduction to computer science course

Despite major advances in measuring human brain activity during and after educational experiences, it is unclear how learners internalize new content, especially in real-life and online settings. In this work, we introduce a neural approach to predicting and assessing learning outcomes in a real-lif...

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Detalles Bibliográficos
Autores principales: Meshulam, Meir, Hasenfratz, Liat, Hillman, Hanna, Liu, Yun-Fei, Nguyen, Mai, Norman, Kenneth A., Hasson, Uri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997890/
https://www.ncbi.nlm.nih.gov/pubmed/33771999
http://dx.doi.org/10.1038/s41467-021-22202-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997890/
https://www.ncbi.nlm.nih.gov/pubmed/33771999
http://dx.doi.org/10.1038/s41467-021-22202-3

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