University of Twente Student Theses
Enhancing the Self-Regulated Learning Process Using a Brain-Computer Interface with Auditory Neurofeedback
Lee, Ari (2023) Enhancing the Self-Regulated Learning Process Using a Brain-Computer Interface with Auditory Neurofeedback.
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| Abstract: | While self-regulated learning takes a significant role in the learning process, students struggle with weak performance monitoring and a lack of external aids. Implementation of the Brain-Computer Interface can assist the students in quantitatively measuring their engagement or concentration during self-regulated learning, hence enhancing the self-regulated learning experience by providing real-time feedback for real-time monitoring of performance and correction. In this project, the level of concentration or engagement of the students will be monitored by implementation of a neuro-physiological computing system and calculation of engagement index from alpha, beta, and theta bands of EEG signals. A real-time feedback based on the aforementioned index in the form of audio, background music with dynamic volume will be developed and evaluated. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 02 science and culture in general, 50 technical science in general, 54 computer science, 81 education, teaching |
| Programme: | Creative Technology BSc (50447) |
| Link to this item: | https://purl.utwente.nl/essays/95949 |
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