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βWave: an EEG-based self-awareness curriculum

Published: 21 July 2020 Publication History

Abstract

At the junction between social emotional learning (SEL) and neuroscience research, there is a dynamic interplay where electroencephalography (EEG) Brain Computer Interface (BCI) technology can allow users to gain an understanding of their mental states. Students are often told to concentrate and pay attention, but they are not actively shown what is internally occurring when they lose focus. We present a curriculum that addresses this issue and that could be important for students' self-awareness. Self-awareness, a subcategory of SEL, can be used as a tool to unpack neuroscience topics for middle schoolers, who often deal with short attention spans. The objective of our design is to help students understand and reflect on how concentration affects brainwaves and how it can strengthen their neural connections. By enabling them to experience and visualize this mental state, middle schoolers can become self-aware of how their cognitive functions change throughout this critical stage of development.

References

[1]
Bashivan, P., Rish, I., & Heisig, S. (2016). Mental state recognition via wearable EEG. arXiv preprint arXiv:1602.00985.
[2]
Bhayee, S., Tomaszewski, P., Lee, D. H., Moffat, G., Pino, L., Moreno, S., & Farb, N. A. (2016). Attentional and affective consequences of technology supported mindfulness training: a randomised, active control, efficacy trial. BMC Psychology, 4(1), 60.
[3]
Frey, J., Gervais, R., Fleck, S., Lotte, F., & Hachet, M. (2014). Teegi: tangible EEG interface. In Proceedings of the 27th annual ACM symposium on User interface software and technology (pp. 301--308). ACM.
[4]
Huitt, W., & Hummel, J. (2003). Piaget's theory of cognitive development. Educational psychology interactive, 3(2), 1--5.
[5]
Kovacevic N, Ritter P, Tays W, Moreno S, McIntosh AR (2015) 'My Virtual Dream': Collective Neurofeedback in an Immersive Art Environment. PLoS ONE 10(7): e0130129.
[6]
Manning, M. L. (1993). Developmentally Appropriate Middle Level Schools. Association for Childhood Education International.
[7]
Maskeliunas, R., Damasevicius, R., Martisius, I., and Vasiljevas, M. (2016). Consumer-grade EEG devices: are they usable for control tasks? Peer J 4:e1746.
[8]
Niedermeyer, E., and da Silva, F. L. (2005). Electroencephalography: basic principles, clinical applications, and related fields. Lippincott Williams & Wilkins.
[9]
Papert, S. (1980). Mindstorms. New York: Basic Books.
[10]
Payton, J., Weissberg, R.P., Durlak, J.A., Dymnicki, A.B., Taylor, R.D., Schellinger, K.B., & Pachan, M. (2008). The positive impact of social and emotional learning for kindergarten to Eighth-Grade Students: Findings from Three Scientific Reviews. Technical Report. Collaborative for Academic, Social, and Emotional Learning (NJ1).
[11]
Trafton, A., & MIT News Office. (2015). How brain waves guide memory formation. Retrieved from http://news.mit.edu/2015/brain-waves-guide-memory-formation-0223
[12]
Wolpaw, J. R., and Wolpaw, E. W. (2012) BCI: Principles and Practice. Oxford University Press.

Cited By

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  • (2023)Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and WellbeingSensors10.3390/s2320848223:20(8482)Online publication date: 15-Oct-2023

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Published In

cover image ACM Conferences
IDC '20: Proceedings of the 2020 ACM Interaction Design and Children Conference: Extended Abstracts
June 2020
367 pages
ISBN:9781450380201
DOI:10.1145/3397617
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2020

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Author Tags

  1. brain computer interface
  2. electroencephalography
  3. multimodal learning analytics
  4. social emotional learning

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  • Extended-abstract

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IDC '20
Sponsor:
IDC '20: Interaction Design and Children
June 21 - 24, 2020
London, United Kingdom

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Overall Acceptance Rate 172 of 578 submissions, 30%

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Cited By

View all
  • (2023)Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and WellbeingSensors10.3390/s2320848223:20(8482)Online publication date: 15-Oct-2023

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