Assessing Community in an Undergraduate Computer Science Program Using Social Network Analysis

Noah B. Salzman, Donald J. Winiecki, Amit Jain
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Abstract

Sense of community and belonging represent key components of students’ success in undergraduate degree programs. As part of a curriculum effort designed to strengthen these components, we conducted a Social Network Analysis of students in an undergraduate computer science program to establish a baseline measurement of students’ connectedness in the program. Analysis of these data showed no significant differences in connectedness between male and female students or white and non-white students. The analysis did identify significant differences based on students’ class year, interest and participation in computer games, and being employed by the computer science department.
用社会网络分析评估大学计算机科学课程中的社区
社区意识和归属感是学生在本科学位课程中取得成功的关键因素。作为加强这些组成部分的课程努力的一部分,我们对本科计算机科学课程的学生进行了社会网络分析,以建立学生在该课程中连通性的基线测量。对这些数据的分析显示,在男女学生、白人学生和非白人学生之间,连通性没有显著差异。分析确实发现了基于学生年级、对电脑游戏的兴趣和参与程度以及是否受雇于计算机科学系等因素的显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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