Grouping University Students Using Social Network Analysis

Alexander Pronin, Elena Veretennik and Alexander Semyonov

Voprosy obrazovaniya / Educational Studies Moscow, 2014, issue 3, 54-73

Abstract: Alexander Pronin - Senior Teacher, Faculty of Management, National Research University - Higher School of Economics (Saint Petersburg). E-mail: aspronin@hse.ru Elena Veretennik - Ph.D. Student, Teacher, Faculty of Management, National Research University - Higher School of Economics (Saint Petersburg). E-mail: veretennik@hse.ruAlexander Semyonov - Independent Researcher. E-mail: semenoffalex@gmail.comAddress: 17, Promyshlennaya str., Saint Petersburg, 198099, Russian Federation.2nd Place in a Competition of Young Scientistsʼ Research Papers of 2013.We have developed and tested a way to reorganize student groups using the Social Network Analysis (SNA) methodology. The problem defined by the administrators of the Faculty of Management at the National Research University - Higher School of Economics (Saint Petersburg) consisted in reorganizing four existing groups of second-year Bachelor's students into three new groups. The fundamental requirement was to keep the friendly and collaborative relationships that had developed between students. Technical requirements included ensuring equal sizes of the new groups (26 students) and equivalent levels of academic performance (measured by the average semester grade). We present a solution algorithm which is based on SNA tools and includes two possible strategies for groups with different interaction patterns: 1) the weak link strategy (selecting the most fragmented student group that can be easily divided into loosely connected subgroups, breaking it down and distributing the clusters among the other three groups); and 2) the melting pot strategy (reorganizing all the four groups into entirely new clusters based on the degree of student interaction). A comparison of performance ranking scores achieved during the following 18 months revealed a growth of the average grade in groups reorganized with regard to interpersonal assessment and interaction. The suggested grouping method may be used to rearrange student groups or courses in situations where some students get dismissed or transferred, or with a view to create project teams for research classes or scientific labs.DOI: 10.17323/1814-9545-2014-3-54-73

Keywords: social network analysis; academic performance; student groups; collaborative learning effects; Girvan-Newman algorithm (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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