{"title":"Assessing Community in an Undergraduate Computer Science Program Using Social Network Analysis","authors":"Noah B. Salzman, Donald J. Winiecki, Amit Jain","doi":"10.1109/FIE43999.2019.9028602","DOIUrl":null,"url":null,"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.","PeriodicalId":6700,"journal":{"name":"2019 IEEE Frontiers in Education Conference (FIE)","volume":"117 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Frontiers in Education Conference (FIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIE43999.2019.9028602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.