基于知识流动的大学生学习网络结构研究——识别、建模与实证分析  

Research on the Structure of College Students’ Learning Network Based on Knowledge Flow: Identification, Modeling and Empirical Analysis

作　　者：张骏[1] 符斌 ZHANG Jun;FU Bin(Jinling Institute of Technology,Nanjing 2111169,China)

机构地区：[1]金陵科技学院商学院

出　　处：《金陵科技学院学报（社会科学版）》2019年第4期78-83,共6页Journal of Jinling Institute of Technology(Social Sciences Edition)

基　　金：金陵科技学院教育教改课题(JYJG2017-9);金陵科技学院商学院教改项目“理论课程在应用型本科人才培养中的定位及创新研究——面向能力提升的培养思路”

摘　　要：运用社会网络理论界定学习网络的内涵,对网络中个体间的知识流动效应进行分析,利用指数随机图模型构建大学生学习网络结构模型,进而利用有关大学生学习关系的调研数据进行实证分析,从而为高等教育教学政策措施的制定与效果评价提供定量分析的思路与方法。This paper defined the connotation of learning network through using social network theory, analyzed the effect of knowledge flow among individuals in the network, used an exponential random graph model to construct the structure model of college students’ learning network, and further made an empirical analysis through using the survey data of learning relationship between university students, in order to provide quantitative analysis ideas and methods for the formulation and the effect evaluation of higher education teaching policies and measures.

关 键 词：学习网络 社会网络理论 知识流动 指数随机图模型 

分 类 号：G642[文化科学—高等教育学] TP301[文化科学—教育学]