Effective Integration of Cultivation of Innovative and Entrepreneurial Ability of College Students and Civic and Political Education Resources in the Internet+ Era

Firstly, Civic and political education can guide college students to establish correct concepts of innovation and entrepreneurship. Based on Civic and political education, college students can realize that innovation and entrepreneurship is an important way to promote social progress and personal development rather than a risk and burden; secondly, Civic and political education can effectively stimulate college students’ interest and enthusiasm in innovation and entrepreneurship. Secondly, Civic and political education can effectively stimulate college students’ interest and enthusiasm in innovation and entrepreneurship. Through civic and political education, college students can come into contact with various cases of innovation and entrepreneurship, as well as successful experiences, which can stimulate their interest and enthusiasm in innovation and entrepreneurship. By utilizing Civic and Political Education, college students can establish a correct outlook on life and values, so as to cultivate a positive sense of innovation and entrepreneurship, and take the initiative to devote themselves to the practice of innovation and entrepreneurship.

Civic and political education can help college students establish correct values of innovation and entrepreneurship. With the help of Civic and Political Education, college students can deeply understand the meaning and significance of innovation and entrepreneurship, and realize that innovation and entrepreneurship is an important force to promote social progress and economic development, so as to set up correct concepts of innovation and entrepreneurship; secondly, Civic and Political Education can make college students clear about the social value and responsibility of innovation and entrepreneurship. Under the guidance of Civic and Political Education, college students can realize that innovation and entrepreneurship are not only for personal interests, but also for the development and progress of society. They will take social responsibility in the process of innovation and entrepreneurship, clarify their mission and goals, and strive to create more value for the society; finally, Civic and political education can also cultivate entrepreneurs with a sense of social responsibility and the spirit of innovation.

Civic and political education will bring necessary knowledge and theoretical support, through learning the basic principles and ideological methods of Marxism, college students can deeply understand the law of social development and the importance of innovation and entrepreneurship, so as to form the correct concept of innovation and entrepreneurship. First of all, Civic and political education can help college students master the basic knowledge and skills needed for innovation and entrepreneurship. In the Civic and Political Education Program, students can learn the relevant theories and practical experiences of innovation and entrepreneurship, understand the basic process and methods of innovation and entrepreneurship, and master the practical skills such as market research, business plan writing and team management, so as to lay a solid foundation for future innovation and entrepreneurship practice; second, Civic and Political Education can cultivate college students’ innovative thinking.

The main resources of education mainly include the resources of teachers, students, and parents. The reasonable integration and utilization of resources can maximize the utility of limited manpower.

The first step is to integrate teacher subject resources. Among these three types of subject resources, teacher subject resources, i.e., the teaching force, is the fundamental element of educational development, which directly affects the implementation effect of educational activities.

Secondly, the role of student subject resources cannot be ignored. Successful educational activities not only educate students about the subject matter, but also encourage self-education and mutual education between educators. This is the main body of educational activities.

Once again, parents’ subject resources should also be incorporated into innovation, entrepreneurship, and civic education. Parents’ subject resources are the most widely sourced, most numerous, and most socialized type of subject resources in college education. However, they are easily neglected.

First, the direct integration of civic and political education with innovation and entrepreneurship education. Civic and political education time consists of two parts: theoretical teaching time and practical teaching time, which can be used to organize students to go deep into the countryside and enterprises, conduct extensive social investigation and market research, and let students directly immerse themselves in the real innovation and entrepreneurship environments of the countryside and enterprises, so as to stimulate their innovation and entrepreneurship inspiration and enthusiasm.

Secondly, teachers engaged in innovation and entrepreneurship education and Civic and Political Education constantly improve their business level and educational ability, constantly update teaching content, innovative teaching methods, improve teaching methods, fully grasp and make good use of every forty-five minutes, and strive to maximize the efficiency of classroom time.

Curriculum resources are the necessary and direct conditions for the implementation of education, and play a central role in the movement of education. Whether the curriculum is reasonable or not and the utilization of curriculum resources are related to the realization of educational goals and the actual impact of education. Innovation and entrepreneurship education and civic education should not only actively develop new curriculum resources on and off campus, but also effectively integrate and utilize existing curriculum resources in a reasonable manner [25].

First, we should fully explore the innovation and entrepreneurship education resources offered by the Civic and Political Education Program. Take undergraduate colleges and universities as an example, according to the requirements of the program of the Ministry of Education, undergraduate colleges and universities need to offer five courses of Civic and Political Education, including Introduction to Ideological and Moral Cultivation and Legal Foundations, Outline of Modern Chinese History, Introduction to the Fundamental Principles of Marxism, Introduction to Mao Zedong Thought and the Theoretical System of Socialism with Chinese Characteristics, and Situation and Policies.

Secondly, the resources for ideological education in innovation and entrepreneurship education courses should be developed in depth. Innovation and entrepreneurship education courses include innovation and entrepreneurship general courses, as well as enterprise management courses and related humanities and social science courses, through which the quality of innovation and entrepreneurship awareness of college students is cultivated, the level of innovation and entrepreneurship skills of college students is strengthened, and the comprehensive quality of college students is continuously improved.

In the field of natural sciences, the Pearson correlation coefficient is widely used to measure the degree of correlation between two variables, with a wide range of applicability and high reliability, especially in analyzing complex data with the combined influence of multiple factors [26]. In Pearson correlation analysis, for two variables x and y, a number of sets of data can be obtained through the test, denoted as (x_i, y_i)(i = 1, 2,⋯, n). The Pearson correlation coefficient is defined as the quotient of the covariance and the standard deviation of the estimated samples, and then the mathematical expression of the correlation coefficient is: 1r=∑i = 1n (xi − x¯ ) (yi − y¯ )∑i = 1n (xi − x¯ )2∑i = 1n (yi − y¯ )2

Where: x, y is the mean value of the n test values respectively.

The value of r is between -1 and +1, if r > 0, it indicates that the two variables are positively correlated; if r < 0, it indicates that the two variables are negatively correlated; the larger the absolute value of r, the stronger the correlation; if r = 0, it indicates that there is no linear correlation between the two. Generally speaking, the correlation coefficient of 0~0.2 is not correlated or very weakly correlated, 0.2~0.4 is weakly correlated, 0.4~0.6 is moderately correlated, 0.6~0.8 is strongly correlated, and 0.8~1 is very strongly correlated.

Representation of the regression model:

Based on the observed value sample data is recorded as (y_i, x_i1, ⋯, x_ik), i = 1,2,⋯, n and introduced into Eq: 2yi=β0+β1xi1+β2xi2+⋯+βkxik+εi,i=1,2,⋯n

Expand and get: 3{ y1=β0+β1x11+β2x12+⋯+βkx1k+ε1y2=β0+β1x21+β2x22+⋯+βkx2k+ε2⋮yn=β0+β1xn1+β2xn2+⋯+βkxnk+εn

In this equation, β₀ can be regarded as the constant term, β₁, β₂ ,⋯, β_k can be regarded as the regression coefficient term; y is called the explanatory variable; X₁, X₂, ⋯, X_k is the value of the independent variable that affects the explanatory variable, i.e. the explanatory variable. ε is the random disturbance term, ε₁, ε₂, ⋯, ε_n is the mutually independent residual series disturbance term, and satisfy ε_i ~ N(0, δ²), i = 1, 2,⋯, n, when k = 1, this model is a univariate linear regression, while k ≥ 2, the model is a multiple linear regression.

From this, it can be seen that: 4{ E(ε)=0var(ε)=σ2

Similarly, the multivariate linear overall regression equation is 5y=β0+β1x1+β2x2+⋯+βkxk

The multiple linear sample regression equation is: 6y^ = β^0 + β^1x1 + β^2x2 + ⋯ + β^k xk

The model can be expressed in matrix form: 7y=[ y1y2⋮yn ],X=[ 1x11x12⋯x1k1x21x22⋯x2k⋮⋮⋮⋯⋮1xn1xn2⋯xnk ],β=[ β0β1⋮βk ],ε=[ ε1ε2⋮εn ] 8y=Aβ+ee∼N(0,δ2I) }

Structural equation modeling, also known as latent variable modeling or covariance structural modeling, is a statistical method that integrates factor analysis and path analysis. It is applicable to the situation when the study of indicators that are difficult to observe directly can be portrayed jointly by multiple observable indicators, in which the indicators that are difficult to observe directly are called latent variables, and if a latent variable is able to affect other latent variables without being affected by other variables, it is called exogenous latent variable, and on the contrary, if a latent variable is affected by an exogenous latent variable, it is called endogenous latent variable [27]. In this case, the measurement equation consists of latent variables and measurable variables, and the structural equation consists of exogenous latent variables over endogenous latent variables.

The expression of the measurement equation is shown below: 9X=Λxξ+δ 10Y=Λyη+ε

The expressions for the structural equations are shown below: 11η=Bη+Γξ+ζ where X represents the observed indicators of the exogenous latent variable ξ, Y represents the observed indicators of the endogenous latent variable η, Λ_X, Λ_Y is the factor loading matrix; B is the correlation coefficient matrix, and Γ is the regression coefficient matrix: ξ is the exogenous latent variable and η represents the endogenous latent variable, which follows a normal distribution and whose covariance matrix is usually assumed to be positive definite: δ, ε and ζ are the error terms, which follow a normal distribution and whose covariance matrices are usually assumed to be diagonal.

Structural equation modeling generally needs to satisfy the following assumptions: the error δ, ε of the measurement equation has a mean value of 0; the error term ζ of the resulting structural equation has a mean value of 0; the error term δ, ε is independent of the latent variable η, ξ, and δ, ε of each other; the error ζ is independent of δ, ε and ξ; and |I – B| is a nonzero constant that is independent of B.