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GDSE/RES: A Study of Gender-based Differences and Ethnic and Cultural Models in each of the Computing Sciences

GDSE/RES: A Study of Gender-based Differences and Ethnic and Cultural Models in each of the Computing Sciences
GDSE/RES:每个计算科学中基于性别的差异以及种族和文化模型的研究
批准号:
0332780
负责人:
Antonio Lopez
金额:
$88.71万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-01 至 2007-08-31

项目摘要

项目成果

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中文摘要
翻译
路易斯安那州泽维尔大学提议:(1)通过性别、种族和文化科学地调查女性在计算机科学(CS)、计算机信息系统(CIS)和计算机工程(CE)中代表性不足的问题——这些学科统称为计算科学;(2)增加性别、种族和文化模型的知识库,创建新的模型,从而实现更公平、更有吸引力的CS、CIS或CE教育;(3)通过鼓励新的研究人员和面向研究的教育实践者,提高国家在计算机科学性别多样性和教育领域的能力。在这个项目中提出的研究是一个混合设计的调查。这主要是一项为期三年的纵向研究。主要的理论和实证方法将是社会认知职业理论(SCCT)模型。SCCT在解释与STEM专业相关的选择行为或目标实施方面的效用探索有限。研究对象是来自全国50所高等教育机构的210名计算机科学一年级的男女本科生(连续三年以上):25所历史上的黑人学院和大学(HBCUs)和25所非HBCUs。作为每个机构每年研究的对照/基线,泽维尔大学还将调查30名来自非计算机科学组的一年级本科生。通过参与这项研究工作,来自50所高等教育机构的几名教员应该对性别多样性和教育更感兴趣。微软研究和科学与工程联合公司(路易斯安那州最大的信息技术公司)将成为合作伙伴。智力优势:基于全国范围内的大样本,研究小组希望能够从调查证据中科学地支持其他研究人员先前提出的一些轶事或小样本发现。他们期望极大地提高计算科学中关于性别、种族和文化的当前知识的粒度,并更好地支持跨心理学、社会学和教育领域对计算科学的理解。综合研究的特点是一个多学科、多元文化、协作的团队能够进行研究。更广泛的影响:这项研究的结果可能对计算机科学的教学产生深远的影响。它将为扩大代表性不足群体的参与、建立跨越学科和地域界线的新网络和伙伴关系提供新办法。最后,它将提供一个科学可靠的基础,社会上的其他人可能会努力增加获得计算机科学、独联体或计算机科学学士学位的妇女人数。
英文摘要
Xavier University of Louisiana proposes to: (1) Scientifically investigate by gender, ethnicity, and culture the under-representation of women in Computer Science (CS), Computer Information Systems (CIS), and Computer Engineering (CE) -- collectively referred to as the computing sciences, (2) Increase the knowledge-base of gender, ethnic, and cultural models, creating newer models that lead to a more equitable and inviting CS, CIS, or CE education, and (3) Increase national capacity in the field of gender diversity and education in the computing sciences by encouraging new researchers and research-oriented education practitioners. The research proposed in this project is an investigation with a mixed design. It is primarily a three-year longitudinal study. The primary theoretical and empirical approach will be the Social Cognitive Career Theory (SCCT) model. There has been limited exploration of SCCT's utility in explaining choice actions or goal implementation relative to STEM majors.Subjects are 210 first year, male and female undergraduates in computing sciences (over three successive years) at each of 50 institutions of higher education from across the nation: 25 Historically Black Colleges and Universities (HBCUs) and 25 non-HBCUs. As a control/baseline for the study each year at each institution, Xavier will also survey 30 first-year undergraduates who are from a non-computing sciences group.By participating in this research effort, several of the faculty members from the 50 institutions of higher education should become more interested in gender diversity and education. Microsoft Research and Science and Engineering Associates, Inc. (Louisiana's largest information technology company) will be corporate partners.Intellectual Merit: Based upon a large, nationwide sample, the team expects to be able to scientifically support from survey evidence some of the anecdotal or small sample findings previously put forth by other researchers. They expect to greatly improve the granularity of the current knowledge regarding gender, ethnicity, and culture in the computing sciences and to better support understanding of the computing sciences across the fields of psychology, sociology, and education. The comprehensive study features a multidisciplinary, culturally diverse, collaborative team capable of conducting the research. Broader Impact: The results of the study could have a profound impact on teaching and learning in the computing sciences. It will inform new approaches to broaden the participation of underrepresented groups, creating new networks and partnerships crossing disciplinary and geographical lines. Finally, it will give a scientifically sound basis from which others in society might work to increase the numbers of women obtaining bachelor's degrees in CS, CIS, or CE.
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PLN: Attracting and retaining African American females in the computing sciences
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  • 财政年份:
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