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ITW: Learning Behaviors and Background Characteristics that Promote Retention of Women and Minorities in Undergraduate Computer Science Programs

ITW: Learning Behaviors and Background Characteristics that Promote Retention of Women and Minorities in Undergraduate Computer Science Programs
ITW:促进女性和少数族裔在计算机科学本科课程中保留的学习行为和背景特征
批准号:
0089963
负责人:
Sandra Katz
金额:
$47.37万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-15 至 2004-08-31

项目摘要

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中文摘要
翻译
机构:剑桥大学提案编号:EIA 0089963 PI:Sandra Katz标题:学习行为和背景特征,促进保留妇女和少数民族在本科计算机科学ProgramsThis CISE信息技术劳动力(ITW)提案要求资金研究学生的学习策略和行为如何影响他们在本科计算机科学课程的表现。 由于编程是计算机科学专业学生学习的第一项技能,也是许多人的绊脚石,因此这项研究将重点关注学生的编程学习策略。 这项研究将包括三项主要活动。 第一个将是学习和编程行为的识别,区分成功的CS学生和不成功的CS学生;和确定哪些行为,如果有的话,是男性比女性(和相反)和白人学生比非裔美国学生(和相反)的特点。 第二项活动将是制定和评估一项干预措施,以培训有效的学习和编程行为。 第三项活动将是对学生和成功的计算机科学家进行调查,以确定某些大学前的经验是否能预测有效的学习行为和计算机科学的成功。 该项目有可能为招聘和保留计算机科学专业的妇女和代表性不足的少数民族提供有价值的见解。
英文摘要
Institution: University of PittsburgProposal Number: EIA 0089963PI: Sandra KatzTitle: Learning Behaviors and Background Characteristics that Promote Retention of Women and Minorities in Undergraduate Computer Science ProgramsThis CISE Information Technology Workforce (ITW) proposal requests funds to study how students' learning strategies and behaviors affect their performance in undergraduate computer science programs. Since programming is one of the first skills that computer science students learn, and a stumbling block for many, the study will focus on students' programming learning strategies. The study will consist of three main activities. The first will be the identification of learning and programming behaviors that distinguish successful from unsuccessful CS students; and the determination of which behaviors, if any, are more characteristic of males than females (and the reverse) and Caucasian students than African American students (and the reverse). The second activity will be the development and evaluation of an intervention to train effective learning and programming behaviors. The third activity will be a survey of students and successful computer scientists to determine whether certain pre-college experiences predict effective learning behaviors and success in computer science. This project has the potential to provide valuable insights into the recruitment and retention of women and underrepresented minorities in computer science majors.
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会议论文
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