摘要
嵌入班级网络中的大学生在交往中形成不同的小群体,这些小群体间的学业成就是否具有显著性差异?研究者将社会网络分析方法中的整体网分析与元分析(Meta分析)相结合,在对大学生班级内小群体的学业成就差异进行多项独立研究的基础上,运用元分析技术将29项研究(N=1076)的结果予以综合分析,得到如下结论:(1)每个班级的大学生都在互动过程中形成了不同数量的小群体,且每个小群体中的学生数量不同;(2)大学生学业成就存在着“人以群分”现象,即同一班级的大学生在互动中产生的小群体在学业成就上存在显著性差异。因此,大学生应加强与高学业成就水平的小群体之间的互动以提高学业成就;而高校管理者也应采用科学的方法识别班级中的不同小群体,从而采取相应的学业成就提升策略。
The social relations among university students who are embedded into the class network consists of multiple small groups in communication.This paper aims to explore whether there is a significant difference in academic achievement among these small groups.Combining the Whole Network Analysis with Meta-analysis in the methodology of social network analysis,researchers undertook several independent studies on the differences of academic achievement among those‘small circles’in the classes of university students.The results of 29 studies(N=1076)are comprehensively analyzed by using Meta-analysis technology,showing that(1)each class of students in the process of interaction formed different small groups with different number of students;(2)the phenomenon that“Birds of a feather flock together”does exist among university students,especially being represented as a significant difference of academic achievement in small group of students.Based on findings,the research suggests that students should try to establish good relations with their classmates who belongs to the small groups with high-levelled academic achievement;and university administrators should apply different strategies to improve academic achievement for different small groups of students.
作者
王炳成
王敏
张士强
WANG Bing-cheng;WANG Min;ZHANG Shi-qiang(College of Economic and Management,Shandong University of Science and Technology,Shandong Qingdao 266590,China;Business School,University of Jinan,Jinan 250022,China)
出处
《教育学报》
CSSCI
北大核心
2020年第1期92-101,共10页
Journal of Educational Studies
基金
全国教育科学规划课题“我国“双一流”大学教学—科研联动绩效评价研究”(课题批准号:BIA180213)研究成果
关键词
“人以群分”
大学生
学业成就
社会网络分析
元分析
整体网分析
“Birds of a feather flock together”
university students
academic achievement
Social Network Analysis
Meta-analysis
Whole Network Analysis
