Matthew Bahnson, Eric T. McChesney, Carlie Cooper, Gerard Dorvè-Lewis, Allison Godwin, Kevin Binning, Linda DeAngelo
{"title":"性别和种族/民族差异在一年级工程课程和继续注册工程课程成绩的预测因素","authors":"Matthew Bahnson, Eric T. McChesney, Carlie Cooper, Gerard Dorvè-Lewis, Allison Godwin, Kevin Binning, Linda DeAngelo","doi":"10.1002/jee.70007","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Engineering requires new solutions to improve undergraduate performance outcomes, including course grades and continued enrollment in engineering pathways. Belonging and engineering role identity have long been associated with successful outcomes in engineering, including academic success, retention, and well-being.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>We measure the relationships between belonging and role identity at the beginning of a first-year engineering course with course grade and continued enrollment in engineering courses. We test the effect of an ecological belonging intervention on student belonging, course grade, and persistence.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>Students (<i>n</i> = 834) reported their sense of belonging in engineering, cross-racial experiences, engineering performance/competence, interest in engineering, and engineering recognition before and after an in-class intervention to improve classroom belonging ecology. Through a series of longitudinal multigroup path analyses, a form of structural equation modeling, we tested the predictive relationships of the measured constructs with engineering identity and investigated differences in these relationships by student gender and race/ethnicity.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>The proposed model predicts course grades and continued enrollment, providing insight into the potential for interventions to support first-year engineering students. Group analysis results demonstrate the difference in the function of these psychosocial measures for women and Black, Latino/a/x, and Indigenous (BLI) students, providing insights into the potential importance of sociocultural interventions within engineering classrooms to improve the engineering climate, engagement, and retention of students.</p>\n </section>\n \n <section>\n \n <h3> Implications</h3>\n \n <p>The results highlight the need for more specific, nuanced theoretical investigations of how marginalized students experience the engineering environment and develop social belonging and engineering role identity.</p>\n </section>\n </div>","PeriodicalId":50206,"journal":{"name":"Journal of Engineering Education","volume":"114 3","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jee.70007","citationCount":"0","resultStr":"{\"title\":\"Gender and race/ethnicity differences in the predictors of course grade in a first-year engineering course and continued enrollment in engineering\",\"authors\":\"Matthew Bahnson, Eric T. McChesney, Carlie Cooper, Gerard Dorvè-Lewis, Allison Godwin, Kevin Binning, Linda DeAngelo\",\"doi\":\"10.1002/jee.70007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Engineering requires new solutions to improve undergraduate performance outcomes, including course grades and continued enrollment in engineering pathways. Belonging and engineering role identity have long been associated with successful outcomes in engineering, including academic success, retention, and well-being.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>We measure the relationships between belonging and role identity at the beginning of a first-year engineering course with course grade and continued enrollment in engineering courses. We test the effect of an ecological belonging intervention on student belonging, course grade, and persistence.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method</h3>\\n \\n <p>Students (<i>n</i> = 834) reported their sense of belonging in engineering, cross-racial experiences, engineering performance/competence, interest in engineering, and engineering recognition before and after an in-class intervention to improve classroom belonging ecology. Through a series of longitudinal multigroup path analyses, a form of structural equation modeling, we tested the predictive relationships of the measured constructs with engineering identity and investigated differences in these relationships by student gender and race/ethnicity.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>The proposed model predicts course grades and continued enrollment, providing insight into the potential for interventions to support first-year engineering students. Group analysis results demonstrate the difference in the function of these psychosocial measures for women and Black, Latino/a/x, and Indigenous (BLI) students, providing insights into the potential importance of sociocultural interventions within engineering classrooms to improve the engineering climate, engagement, and retention of students.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Implications</h3>\\n \\n <p>The results highlight the need for more specific, nuanced theoretical investigations of how marginalized students experience the engineering environment and develop social belonging and engineering role identity.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50206,\"journal\":{\"name\":\"Journal of Engineering Education\",\"volume\":\"114 3\",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jee.70007\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Education\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jee.70007\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Education","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jee.70007","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Gender and race/ethnicity differences in the predictors of course grade in a first-year engineering course and continued enrollment in engineering
Background
Engineering requires new solutions to improve undergraduate performance outcomes, including course grades and continued enrollment in engineering pathways. Belonging and engineering role identity have long been associated with successful outcomes in engineering, including academic success, retention, and well-being.
Purpose
We measure the relationships between belonging and role identity at the beginning of a first-year engineering course with course grade and continued enrollment in engineering courses. We test the effect of an ecological belonging intervention on student belonging, course grade, and persistence.
Method
Students (n = 834) reported their sense of belonging in engineering, cross-racial experiences, engineering performance/competence, interest in engineering, and engineering recognition before and after an in-class intervention to improve classroom belonging ecology. Through a series of longitudinal multigroup path analyses, a form of structural equation modeling, we tested the predictive relationships of the measured constructs with engineering identity and investigated differences in these relationships by student gender and race/ethnicity.
Findings
The proposed model predicts course grades and continued enrollment, providing insight into the potential for interventions to support first-year engineering students. Group analysis results demonstrate the difference in the function of these psychosocial measures for women and Black, Latino/a/x, and Indigenous (BLI) students, providing insights into the potential importance of sociocultural interventions within engineering classrooms to improve the engineering climate, engagement, and retention of students.
Implications
The results highlight the need for more specific, nuanced theoretical investigations of how marginalized students experience the engineering environment and develop social belonging and engineering role identity.