Cargando…
Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment
In this paper, we demonstrate a closed-loop EEG-based learning environment, that adapts instructional learning material online, to improve learning success in students during arithmetic learning. The amount of cognitive workload during learning is crucial for successful learning and should be held i...
Autores principales: | Walter, Carina, Rosenstiel, Wolfgang, Bogdan, Martin, Gerjets, Peter, Spüler, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448161/ https://www.ncbi.nlm.nih.gov/pubmed/28611615 http://dx.doi.org/10.3389/fnhum.2017.00286 |
Ejemplares similares
-
Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach
por: Gerjets, Peter, et al.
Publicado: (2014) -
Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning
por: Spüler, Martin, et al.
Publicado: (2012) -
Learned self-regulation of the lesioned brain with epidural electrocorticography
por: Gharabaghi, Alireza, et al.
Publicado: (2014) -
Electroencephalography Based Analysis of Working Memory Load and Affective Valence in an N-back Task with Emotional Stimuli
por: Grissmann, Sebastian, et al.
Publicado: (2017) -
Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant Users
por: Rosanne, Olivier, et al.
Publicado: (2021)