Factors affecting on academic motivationof secondary vocational students in china

Abstract

This study aims to investigate the relationship between academic motivation, academic self-efficacy, learning interest, emotions, learning habits, student-teacher relationship and parental social support and to investigate the factors that affect the academic motivation of secondary vocational students in China. They are academic self-efficacy, learning interest, emotions, learning habits, student-teacher relationship, and parental social support. The participants were 266 students of secondary vocational school. The research instruments were questionnaires. The data was analyzed by the Pearson Product Moment Correlation Coefficient and Stepwise Multiple Regression Analysis. The results were as follows: According to the correlation analysis method. It can be concluded that academic motivation of secondary vocational students is significantly positively correlated with academic self-efficacy (X1), learning interest (X2), and student-teacher relationship (X5) at a level of 0.5, and that there is a significant positive correlation between academic motivation and social support from parents (X6) at a level of 0.01. Academic motivation of vocational students is significantly negatively correlated with emotions (X3) and study habits (X4). This means that the dependent variable may increase or decrease when the independent variable changes, and it may be changed by external factors. According to the stepwise regression analysis of the results, there are four factors that affect the academic motivation of vocational students in China: academic self-efficacy (X1), learning interest (X2), learning habits (X4), and student-teacher relationships (X5). The results show that emotions (X3) and social support from parents (X6) have no significant effect on academic motivation. The unstandardized coefficients of the predictor were written as an equation as follows: Ŷ = .792+ .592 X1+ .166 X2 + .124 X5+ (-. 093 X4). The standardized coefficients of the forecaster were written as an equation as follows: Z = .573 X1 + .124 X5 + .135 X2+ (- .081 X4).

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