Ashley Robinson, Manuel A. Pérez-Quiñones, G. Scales
{"title":"了解非裔美国中学女生对计算机科学的态度","authors":"Ashley Robinson, Manuel A. Pérez-Quiñones, G. Scales","doi":"10.1109/RESPECT.2015.7296507","DOIUrl":null,"url":null,"abstract":"The number of women in computing is significantly low compared to the number of men in the discipline, with African American women making up an even smaller segment of this population. Related literature accredits this phenomenon to multiple sources, including background, stereotypes, discrimination, self-confidence, and a lack of self-efficacy or belief in one's capabilities. However, a majority of the literature fails to represent African American females in research studies. The research presented in this paper used a mixed methods approach to understand the attitudes of African American middle school girls toward computer science and investigated the factors that influence these attitudes. The results show that African American middle school girls generally have negative attitudes toward computer science. However, after participating in a computer science intervention, perceptions toward computer science become more positive. The results also reveal that four factors influence the attitudes of African American middle school girls toward computer science, such as the participation in an intervention, the intervention content domain, the facilitation of performance accomplishments, and participant characteristics like socioeconomic status, mother's education, school grades, and the use of smart phones and video game consoles at home.","PeriodicalId":203790,"journal":{"name":"2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Understanding the attitudes of African American middle school girls toward computer science\",\"authors\":\"Ashley Robinson, Manuel A. Pérez-Quiñones, G. Scales\",\"doi\":\"10.1109/RESPECT.2015.7296507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The number of women in computing is significantly low compared to the number of men in the discipline, with African American women making up an even smaller segment of this population. Related literature accredits this phenomenon to multiple sources, including background, stereotypes, discrimination, self-confidence, and a lack of self-efficacy or belief in one's capabilities. However, a majority of the literature fails to represent African American females in research studies. The research presented in this paper used a mixed methods approach to understand the attitudes of African American middle school girls toward computer science and investigated the factors that influence these attitudes. The results show that African American middle school girls generally have negative attitudes toward computer science. However, after participating in a computer science intervention, perceptions toward computer science become more positive. The results also reveal that four factors influence the attitudes of African American middle school girls toward computer science, such as the participation in an intervention, the intervention content domain, the facilitation of performance accomplishments, and participant characteristics like socioeconomic status, mother's education, school grades, and the use of smart phones and video game consoles at home.\",\"PeriodicalId\":203790,\"journal\":{\"name\":\"2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RESPECT.2015.7296507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RESPECT.2015.7296507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding the attitudes of African American middle school girls toward computer science
The number of women in computing is significantly low compared to the number of men in the discipline, with African American women making up an even smaller segment of this population. Related literature accredits this phenomenon to multiple sources, including background, stereotypes, discrimination, self-confidence, and a lack of self-efficacy or belief in one's capabilities. However, a majority of the literature fails to represent African American females in research studies. The research presented in this paper used a mixed methods approach to understand the attitudes of African American middle school girls toward computer science and investigated the factors that influence these attitudes. The results show that African American middle school girls generally have negative attitudes toward computer science. However, after participating in a computer science intervention, perceptions toward computer science become more positive. The results also reveal that four factors influence the attitudes of African American middle school girls toward computer science, such as the participation in an intervention, the intervention content domain, the facilitation of performance accomplishments, and participant characteristics like socioeconomic status, mother's education, school grades, and the use of smart phones and video game consoles at home.