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Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities

Pan, Ziqi; Cristea, Alexandra I.

Authors

Ziqi Pan ziqi.pan2@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

Students’ success in the 21st century demands not only strong academic skills but also well-developed Non-academic Skills and Abilities (NaSAs) such as critical thinking, concentration, and emotion regulation. The emerging field of Brain-Computer Interfaces (BCIs) offers intriguing possibilities for enhancing student learning and development, by providing real-time neurofeedback that could inform personalised strategies. While research on the impact of BCIs on academic skills is growing, there is limited research regarding their potential to promote NaSAs. This Systematic Literature Review (SLR) aims to address this gap, by investigating and analysing the existing research on how BCIs can be used to assist the development of these crucial skills and abilities. This SLR provides a comprehensive analysis of 46 empirical studies between 2013–2023 selected via the well-accepted PRISMA method from 922 candidate studies. This analysis explores the diverse ways BCIs can facilitate or enhance the development of cognitive, motor, and inter-/intra- personal NaSAs, either passively or actively. The findings of this SLR offer valuable insights into the potential of BCIs to revolutionise education towards a neuro-enhanced future that promotes not only academic achievement, but also holistic student growth.

Citation

Pan, Z., & Cristea, A. I. (2024, June). Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities. Presented at ITS 2024: Generative Intelligence and Intelligent Tutoring Systems, Thessaloniki, Greece

Presentation Conference Type Conference Paper (published)
Conference Name ITS 2024: Generative Intelligence and Intelligent Tutoring Systems
Start Date Jun 10, 2024
End Date Jun 13, 2024
Online Publication Date Jun 1, 2024
Publication Date Jun 1, 2024
Deposit Date Nov 13, 2024
Print ISSN 0302-9743
Publisher Springer
Peer Reviewed Peer Reviewed
Pages 49-66
Series Title Lecture Notes in Computer Science
Series ISSN 0302-9743
Book Title Generative Intelligence and Intelligent Tutoring Systems
ISBN 9783031630309
DOI https://doi.org/10.1007/978-3-031-63031-6_5
Public URL https://durham-repository.worktribe.com/output/3093234