Legal Instructional Design by Deep Learning Theory Under the Background of Educational Psychology.

This work aims to reform legal teaching in Colleges and Universities (CAUs) and improve law students' comprehensive quality. In the context of Educational Psychology (EPSY) research, Deep Learning (DL) theory is integrated into legal instructional design (ID). Following a theoretical review of EPSY and DL, the current situation and problems of college legal teaching are understood based on the Law School in a University in Shanghai through auditing, communication, and investigation methods. The theoretical research results are integrated into the ID. The teaching content is divided into language information module, wisdom skills module, cognitive module, action skills module, and attitude module. Each module is divided into three teaching methods, and all teaching methods are combined into the proposed legal ID. Finally, the proposed legal ID is applied in the legal classroom of the Law School in a University in Shanghai. Overall, seventy students are recruited and grouped into Class A (experimental group) and Class B (control group). Class A uses the proposed legal ID, and Class B does not. The scores of Classes A and B are compared. After a semester, the average score of Class A has increased from 68 to 71.11 points. The covariance has decreased from 61.66 to 51.42. When the confidence level is set to 0.95, the confidence interval of class A has increased from 65.26-70.74 to 68.62-73.61. By comparison, the average score of Class B dropped from 68.14 to 68.11 points. The covariance has decreased from 60.24 to 41.76. When the confidence level is set to 0.95, the confidence interval of class B has changed from 65.44-70.85 to 65.86-70.37, without significant improvement. Therefore, the proposed legal ID based on DL theory is scientific and effective. This work has certain reference significance for optimizing the ID of CAUs and improving the comprehensive quality of college-student talents.

Entrepreneurial Passion Psychology- Based Influencing Factors of New Venture Performance.

Small and medium-sized enterprises have been the driving force of social economy. As the social formation and the rise of many emerging economies, the domestic economic environment changes dramatically, which makes small and medium-sized enterprises face severe challenges. In the face of the fierce competition environment, how to improve the performance of entrepreneurship and gain competitive advantage is a very important topic in the practical management of entrepreneurs. This exploration is carried out with the entrepreneurial passion and risk taking as the antecedent variable, entrepreneurial performance as the outcome variable, and then work engagement as the mediator. With the entrepreneurs of small and medium-sized enterprises as the research object, questionnaire method is used to carry out empirical research. The empirical analysis results show that entrepreneurial passion has a significant positive impact on work engagement; risk taking has a significant positive impact on work engagement; work engagement has a significant positive impact on entrepreneurship performance; in addition, work participation plays a mediating role in the process of entrepreneurial passion and risk taking. The results provide academic and practical implications for entrepreneurs.

The Influence of Entrepreneurs' Psychological Capital on Their Deviant Innovation Behavior.

This study explores the influence of psychological capital on the deviant innovation behavior, with the purpose of realizing the application and development of positive psychology in the field of innovation and creation. First, the data was obtained based on the questionnaire, and the Likert scale was adopted to measure the variables effectively, in which 1 point means "never," 2 points mean "rarely," and 5 points mean "always." Second, the SPSS 26.0 statistical analysis software was adopted, and a statistical analysis was made on the correlation among deviant innovation, psychological capital, work values, and work remodeling. Third, the relationship between psychological capital and deviant innovation behavior was explored using the analytic hierarchy process (AHP). The results showed that the reliability of each scale is good, Cronbach's α coefficients are all higher than 0.8, and the fitting effect of the four-factor model is the best, proving that the highest differentiation validity can be achieved using the proposed method. Furthermore, there are significant correlations among entrepreneur's psychological capital, entrepreneur's work values, and entrepreneurship work remodeling and deviant innovation behavior, among which the psychological capital and work values are the most correlated with deviant innovation. With the psychological capital of entrepreneurs as the adjustment variable and the interaction added, the explanation rate of the level equation is increased from 17 to 24.2%. Therefore, the psychological capital of entrepreneurs plays a very big role in regulating work values and deviant innovation behavior. In the current environment of innovation and entrepreneurship development, it is necessary for entrepreneurs to give full reign to the regulatory role of their own psychological capital, so as to promote the development of self-active deviant innovation activities and encourage employees to actively innovate and create.