CS1的性别差异:一项多机构、多变量研究。

Keith Quille, N. Culligan, Susan Bergin
{"title":"CS1的性别差异:一项多机构、多变量研究。","authors":"Keith Quille, N. Culligan, Susan Bergin","doi":"10.1145/3059009.3059048","DOIUrl":null,"url":null,"abstract":"This paper describes a multivariate, multi-institutional study conducted in the academic year 2015-16. Six hundred and ninety-three students participated from 11 institutions, (ten institutions in Ireland and one in Denmark). The goal of the study was to compare the profile of male and female students enrolled on introductory programming modules (CS1), to determine if any significant differences could be identified by gender. The gender split was 79:21, male to female respectively. The study took place early in the CS1 module with three instruments used to capture data: a background survey, a survey on programming self-efficacy, comfort and anxiety, and a short programming test. At the end of the module, the overall result for each participant was gathered. Of importance, the study was conducted across multiple levels of Computer Science education, from Level 5 Certificate up to and including Honors Bachelor Degree and Higher Diploma, (which are based on the Irish National Framework of Qualifications NFQ). This paper describes the approach taken and the detailed analysis performed. Several significant differences between male and female students were identified early in CS1, some of which did not hold true at the end of the module. A gender comparison between the two participating countries and the different institution types was also performed and discussed. The findings could be used to positively influence teaching practice and to the development of gender focused retention and recruitment strategies.","PeriodicalId":174429,"journal":{"name":"Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Insights on Gender Differences in CS1: A Multi-institutional, Multi-variate Study.\",\"authors\":\"Keith Quille, N. Culligan, Susan Bergin\",\"doi\":\"10.1145/3059009.3059048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a multivariate, multi-institutional study conducted in the academic year 2015-16. Six hundred and ninety-three students participated from 11 institutions, (ten institutions in Ireland and one in Denmark). The goal of the study was to compare the profile of male and female students enrolled on introductory programming modules (CS1), to determine if any significant differences could be identified by gender. The gender split was 79:21, male to female respectively. The study took place early in the CS1 module with three instruments used to capture data: a background survey, a survey on programming self-efficacy, comfort and anxiety, and a short programming test. At the end of the module, the overall result for each participant was gathered. Of importance, the study was conducted across multiple levels of Computer Science education, from Level 5 Certificate up to and including Honors Bachelor Degree and Higher Diploma, (which are based on the Irish National Framework of Qualifications NFQ). This paper describes the approach taken and the detailed analysis performed. Several significant differences between male and female students were identified early in CS1, some of which did not hold true at the end of the module. A gender comparison between the two participating countries and the different institution types was also performed and discussed. The findings could be used to positively influence teaching practice and to the development of gender focused retention and recruitment strategies.\",\"PeriodicalId\":174429,\"journal\":{\"name\":\"Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3059009.3059048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3059009.3059048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

摘要

本文描述了一项在2015-16学年进行的多元、多机构研究。来自11所院校的693名学生参加了本次活动(爱尔兰10所院校和丹麦1所院校)。这项研究的目的是比较参加编程入门模块(CS1)的男女学生的情况,以确定是否有任何显著的差异可以通过性别来确定。男女比例分别为79:21。这项研究在CS1模块的早期进行,使用了三种工具来获取数据:背景调查,编程自我效能调查,舒适和焦虑调查,以及简短的编程测试。在模块结束时,收集每个参与者的总体结果。重要的是,这项研究是在多个级别的计算机科学教育中进行的,从5级证书到荣誉学士学位和高级文凭(基于爱尔兰国家资格框架NFQ)。本文描述了所采用的方法和所进行的详细分析。在CS1的早期就发现了男女学生之间的一些显著差异,其中一些在该模块结束时并不成立。还对两个参与国和不同机构类型之间的性别比较进行了讨论。研究结果可用于对教学实践产生积极影响,并有助于制定注重性别的留用和招聘战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights on Gender Differences in CS1: A Multi-institutional, Multi-variate Study.
This paper describes a multivariate, multi-institutional study conducted in the academic year 2015-16. Six hundred and ninety-three students participated from 11 institutions, (ten institutions in Ireland and one in Denmark). The goal of the study was to compare the profile of male and female students enrolled on introductory programming modules (CS1), to determine if any significant differences could be identified by gender. The gender split was 79:21, male to female respectively. The study took place early in the CS1 module with three instruments used to capture data: a background survey, a survey on programming self-efficacy, comfort and anxiety, and a short programming test. At the end of the module, the overall result for each participant was gathered. Of importance, the study was conducted across multiple levels of Computer Science education, from Level 5 Certificate up to and including Honors Bachelor Degree and Higher Diploma, (which are based on the Irish National Framework of Qualifications NFQ). This paper describes the approach taken and the detailed analysis performed. Several significant differences between male and female students were identified early in CS1, some of which did not hold true at the end of the module. A gender comparison between the two participating countries and the different institution types was also performed and discussed. The findings could be used to positively influence teaching practice and to the development of gender focused retention and recruitment strategies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信