Using Electroencephalography to Determine Student Attention in the Classroom
Paper
V, Indumathi and Kist, Alexander A. 2023. "Using Electroencephalography to Determine Student Attention in the Classroom." 2023 IEEE Global Engineering Education Conference (EDUCON). Kuwait, Kuwait 01 - 04 May 2023 Kuwait. https://doi.org/10.1109/EDUCON54358.2023.10125158
Paper/Presentation Title | Using Electroencephalography to Determine Student Attention in the Classroom |
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Presentation Type | Paper |
Authors | V, Indumathi and Kist, Alexander A |
Journal or Proceedings Title | Proceedings of 2023 IEEE Global Engineering Education Conference (EDUCON) |
Number of Pages | 3 |
Year | 2023 |
Place of Publication | Kuwait |
Digital Object Identifier (DOI) | https://doi.org/10.1109/EDUCON54358.2023.10125158 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/abstract/document/10125158 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/10125098/proceeding |
Conference/Event | 2023 IEEE Global Engineering Education Conference (EDUCON) |
Event Details | 2023 IEEE Global Engineering Education Conference (EDUCON) Parent IEEE Global Engineering Education Conference Delivery In person Event Date 01 to end of 04 May 2023 Event Location Kuwait, Kuwait |
Abstract | The Higher Education landscape caters to the learning requirement for a large and diverse cohort of students. With diversity comes the additional challenge for educators to design engaging learning content and environment that holds the student's attention in the classroom. This paper presents the evolution of a PhD research topic that stemmed from the findings of a conference workshop titled “Enhancing the 21st century educational landscape with wearables”. This work examined the challenges faced by educators in the classroom and used that information to propose a technological solution for the most common challenge – student's attention in the classroom. After complementing the literature review, data was collected from educators in a face-to-face conference workshop. This paper reports on the initial findings from the workshop and the resulting research questions of the PhD titled “Using electroencephalography (EEG) data analytics to empower learners and teachers”. |
Keywords | attention; wearables; bio sensors; data analytics; technology |
ANZSRC Field of Research 2020 | 401002. Engineering education |
460603. Cyberphysical systems and internet of things | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Engineering |
Engineering Institute of Technology, Australia |
Permalink -
https://research.usq.edu.au/item/z2765/using-electroencephalography-to-determine-student-attention-in-the-classroom
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