Chase Hatcher, E. Price, P. Smith, C. Turpen, Eric Brewe
{"title":"Social Network Analysis of a Physics Faculty Online Learning Community","authors":"Chase Hatcher, E. Price, P. Smith, C. Turpen, Eric Brewe","doi":"10.1119/perc.2022.pr.hatcher","DOIUrl":null,"url":null,"abstract":"We analyze the results of two surveys administered to a Faculty Online Learning Community teaching a common physics curriculum designed primarily for pre-service elementary teachers. We use Social Network Analysis to represent the faculty network and compare members’ closeness, a measure of how closely connected a person is with every other person in their network, to their reported experience in the community. We find that participants’ self-efficacy, as well as their teaching and sense of benefitting from the community, are predictors of their centrality in the network as measured by closeness with other participants","PeriodicalId":253382,"journal":{"name":"2022 Physics Education Research Conference Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Physics Education Research Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1119/perc.2022.pr.hatcher","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
We analyze the results of two surveys administered to a Faculty Online Learning Community teaching a common physics curriculum designed primarily for pre-service elementary teachers. We use Social Network Analysis to represent the faculty network and compare members’ closeness, a measure of how closely connected a person is with every other person in their network, to their reported experience in the community. We find that participants’ self-efficacy, as well as their teaching and sense of benefitting from the community, are predictors of their centrality in the network as measured by closeness with other participants