Experimental Study on Neural Feedback in Embedded System Teaching Processing Based on ERP Signal Analysis

Authors

  • Danbing Du Changchun Normal University education department

DOI:

https://doi.org/10.3991/ijet.v14i12.10715

Keywords:

EEG, embedded system, language learning, ERP, neural feedback

Abstract


Embedded system teaching is an indispensable part in the process of computer language learning. This paper analyzes the neural feedback of embedded system learners in learning embedded systems by observing the generation and fluctua-tion of EEG signals. The ERP signals of computer learners in learning embedded system are monitored by ERP technology. The results show that the embedded system leads to the changes in EEG of computer linguists, and the changes of EEG amplitudes caused by different embedded systems. Combined with previous studies, it is shown that the embedded system processing has different effects on neural feedback. The analysis of EEG signals provides some theoretical basis and new ideas for embedded system teaching.

Author Biography

Danbing Du, Changchun Normal University education department

Danbing Du She Earned her bachelor degree from Jilin University in 2003. Earned her master's degree from Jilin University of Finance and Economics in 2010. She areas of research interest include: Artificial intelligence &education and New media technology teaching. She is a currently a lecturer of new media technology teaching at Changchun Normal University in education department.

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Published

2019-06-27

How to Cite

Du, D. (2019). Experimental Study on Neural Feedback in Embedded System Teaching Processing Based on ERP Signal Analysis. International Journal of Emerging Technologies in Learning (iJET), 14(12), pp. 109–120. https://doi.org/10.3991/ijet.v14i12.10715

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Section

Papers