Yu Zeng
School of Foreign Languages, Guizhou Education University, Guiyang, Guizhou, 550018, China

DOI:https://doi.org/10.5912/jcb1590


Abstract:

Implementing mental health education in English language teaching in colleges and universities is an inevitable dynamic in developing global competition. This paper proposes mental health education based on a psychophysiological computational framework, using ecological transient assessment and intervention to identify mental health problems and analyze physiological states by rhythmic frequency domain based on EEG signals. At the same time, psychological changes such as emotional activities are taken as independent variables and various physiological responses of the human body are taken as dependent variables, and the conceptualized conditional probabilities are used to reflect the psychological activities on physiological response generation. The application of this mental health education to English teaching in colleges and universities revealed that the overall water mean of the control class after the implementation of the teaching was 1.82, and the overall water mean of the experimental class was 1.45. The mean difference between the overall level of the experimental class and the control class was 0.36, and there was a significant improvement in the mental health level of the class students. This study has important implications for developing English teaching and learning and the smooth implementation of mental health education.