The Enlightenment of Cooper’s Learning Circle Theory to the Construction of College Student Team

At the present stage of development,colleges and universities in the training of students and management of student team construction there are some problems,although many colleges and universities to take the corresponding management plan,effectively improve the quality of students,but educators still need to face how to cultivate a mature student team in a short time.In this regard,combining Dewey’s“experiential learning”and Cooper’s experiential learning theory,the paper applies experiential learning theory and practice to the training of college student team construction,aiming at improving the overall quality of the student team effectively,so as to promote the comprehensive development of students.

Urbanization and eco-environment coupling circle theory and coupler regulation

A near-distance,nonlinear coupling relationship objectively exists between urbanization and the eco-environment.The issue of how to coordinate the relationship between them has become a global strategic and scientific issue.This study reveals the nature,relationship and intensity of coupling between urbanization and the eco-environment from a theoretical perspective.Based on the strength of coupling,relationships can be characterized as having very-low,low,medium,high,very-high or full coupling intensity,which correspond to the categories of random coupling,indirect coupling,loose coupling,cooperative coupling,close coupling,and controlled coupling.Together,these make up an urbanization and eco-environment"coupling tower."This study also develops an urbanization and eco-environment coupling circle theory and generates 45 coupling graphs(including linear,exponential-curve,logarithmic-curve,double exponential-curve and S-curve graphs)per 10°of rotation of the coupling circle,with different graphs corresponding to different urban development stages and development models.Of the various coupling graphs,the S-curve graph is considered the optimum,as it reflects the best interactivity scenario between urbanization and the eco-environment.Using an S-curve coupling graph,and with the help of an SD model and based on the complex one-to-one,one-to-many,and many-to-many relationships between the variables,this study develops the Urbanization and Eco-environment Coupler(UEC).The UEC is composed of 11 regulating elements and 201 variables.If one variable changes,it changes the whole,affecting the structure,function and regulation of the entire coupler.The UEC includes three spatio-temporal scales:static regulation between multiple urbanization areas and eco-environment areas at the same time,dynamic regulation between the same urbanization area and eco-environment area at different times,and dynamic regulation between multiple urbanization areas and eco-environment areas at different times.Regulation gradually promotes evolution from low-level coupling to high-level coupling between urbanization and the eco-environment.

Predicting Tie Strength of Chinese Guanxi by Using Big Data of Social Networks

This paper poses a question:How many types of social relations can be categorized in the Chinese context?In social networks,the calculation of tie strength can better represent the degree of intimacy of the relationship between nodes,rather than just indicating whether the link exists or not.Previou research suggests that Granovetter measures tie strength so as to distinguish strong ties from weak ties,and the Dunbar circle theory may offer a plausible approach to calculating 5 types of relations according to interaction frequency via unsupervised learning(e.g.,clustering interactive data between users in Facebook and Twitter).In this paper,we differentiate the layers of an ego-centered network by measuring the different dimensions of user's online interaction data based on the Dunbar circle theory.To label the types of Chinese guanxi,we conduct a survey to collect the ground truth from the real world and link this survey data to big data collected from a widely used social network platform in China.After repeating the Dunbar experiments,we modify our computing methods and indicators computed from big data in order to have a model best fit for the ground truth.At the same time,a comprehensive set of effective predictors are selected to have a dialogue with existing theories of tie strength.Eventually,by combining Guanxi theory with Dunbar circle studies,four types of guanxi are found to represent a four-layer model of a Chinese ego-centered network.