Inter-brain coupling analysis reveals learning-related attention of primary school students
Author:
Funder
National Natural Science Foundation of China
Tsinghua University Spring Breeze Fund
Publisher
Springer Science and Business Media LLC
Subject
Education
Link
https://link.springer.com/content/pdf/10.1007/s11423-023-10311-3.pdf
Reference49 articles.
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2. Al-Nafjan, A., & Aldayel, M. (2022). Predict students’ attention in online learning using EEG data. Sustainability, 14(11), 6553.
3. Anwar, M. A., Agrawal, M., Gahlan, N., Sethia, D., Singh, G. K., & Chaurasia, R. (2023). FedEmo: A privacy-preserving framework for emotion recognition using EEG physiological data. 2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS) (pp. 119–124).
4. Aricò, P., Borghini, G., Di Flumeri, G., Sciaraffa, N., & Babiloni, F. (2018). Passive BCI beyond the lab: Current trends and future directions. Physiological Measurement, 39(8), 08TR02.
5. Beaman, R., Wheldall, K., & Kemp, C. (2006). Differential teacher attention to boys and girls in the classroom. Educational Review, 58(3), 339–366.
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