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: Xavier University of Louisiana
• 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
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0332780&HistoricalAwards=false
• 关键词: GDSE; RES; Study; Gender; based

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.

路易斯安那州泽维尔大学提议：（1）科学家按性别、种族和文化调查妇女在计算机科学（CS）、计算机信息系统（CIS）和计算机工程（CE）-统称为计算科学-中的代表性不足，（2）增加性别、种族和文化模式的知识基础，创建新的模式，导致更公平和更有吸引力的计算机科学、计算机科学和计算机教育，以及（3）通过鼓励新的研究人员和研究型教育从业者，提高国家在性别多样性和计算机科学教育领域的能力。本研究是一项混合设计的研究。 这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生涯理论（SCCT）模型。SCCT的效用在解释选择行动或目标实现相对于STEM majores.Subjects是210个第一年，男性和女性本科生在计算科学（连续三年）在每个50所高等教育机构来自全国各地：25个历史上的黑人学院和大学（HBCU）和25个non-HBCU。 Xavier还将调查30名来自非计算机科学组的一年级本科生，作为每个机构每年研究的对照/基线。通过参与这项研究工作，来自50所高等教育机构的一些教师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协会。（路易斯安那州最大的信息技术公司）将成为企业合作伙伴。智力优势：基于全国范围内的大样本，该团队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。 他们希望大大提高当前计算科学中有关性别、种族和文化的知识的粒度，并更好地支持心理学、社会学和教育领域对计算科学的理解。 这项综合研究的特点是一个多学科，文化多样性，协作团队能够进行研究。 更广泛的影响：研究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参与的新办法提供信息，建立跨学科和跨地域的新网络和伙伴关系。最后，它将提供一个科学的坚实基础，社会上的其他人可以以此为基础，努力增加获得CS、CIS或CE学士学位的妇女人数。