Experimental study on neural feedback in embedded system teaching processing based on ERP signal analysis

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 fluctuation 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.