ITWF: Collaborative Research: Increasing the Representation of Undergraduate Women and Minorities in Computer Science

职务名称：ITWF合作研究：增加本科妇女和少数民族在计算机科学中的代表性CNS 0420436，PI Horwitz，威斯康星大学麦迪逊分校CNS 0419340，PI Huss-Lederman，贝洛伊特学院CNS 0420312，PI Munson，威斯康星大学密尔沃基分校CNS 0420337，PI Dunsmore，普渡大学CNS 0420343，PI Rodger，杜克大学CNS 0420358，PI Binkley，马里兰州洛约拉学院CNS 0420368，PI Biggers，格鲁吉亚理工学院CNS 0420433，PI Ryder，Rutgers UniversityThis协作ITWF项目实施了一种新的方法来介绍计算机科学，其目标是增加女性和少数民族在本科计算机科学学位课程中的入学率和保留率。该项目采用新兴学者计划和同行领导的团队学习方法，这些方法在数学和其他科学领域已被证明是成功的，适用于计算机科学。这是威斯康星大学麦迪逊分校、贝洛伊特学院、杜克大学、格鲁吉亚理工学院、马里兰州洛约拉学院、普渡大学、罗格斯大学和威斯康星大学密尔沃基分校之间的一个合作项目。该项目包括有针对性地招收具有较强数学和科学背景的学生参加新课程。该课程包括学生在小组工作的挑战性问题与小组促进优秀的本科生。这个项目的智力价值在于在其他学科已经成功的模型的坚实基础。该合作代表了一个在教育改革和转型方面具有重要专业知识的调查小组。将在合作伙伴所代表的各种机构中实施，从而为评价这一创新方法提供一个良好的环境，并说明广泛的机构复制和采用的可能性，该项目更广泛的影响在于有可能增加代表性不足的群体对计算机科学的参与。待测试的方法成本相对较低，易于实施，因此很有可能在全国范围内产生广泛影响。

Title: ITWF Collaborative Research: Increasing the Representation of Undergraduate Women and Minorities in Computer ScienceCNS 0420436, PI Horwitz, Univ. of Wisconsin-MadisonCNS 0419340, PI Huss-Lederman, Beloit CollegeCNS 0420312, PI Munson, Univ. of Wisconsin-MilwaukeeCNS 0420337, PI Dunsmore, Purdue UniversityCNS 0420343, PI Rodger, Duke UniversityCNS 0420358, PI Binkley, Loyola College of MarylandCNS 0420368, PI Biggers, Georgia Institute of TechnologyCNS 0420433, PI Ryder, Rutgers UniversityThis collaborative ITWF project implements a new approach to introductory computer science with the goal of increasing the enrollment and retention of women and under-represented minorities in undergraduate computer science degree programs. The project adapts the Emerging Scholars Program and the Peer-led Team Learning approaches, which have been proven successful in mathematics and other sciences, to computer science. It is a collaborative project between the University of Wisconsin-Madison, Beloit College, Duke University, Georgia Institute of Technology, Loyola College of Maryland, Purdue University, Rutgers University, and the University of Wisconsin-Milwaukee. The project includes targeted recruitment of students with strong mathematics and science backgrounds to the new course. The course includes students working in small groups on challenging problems with group facilitation by outstanding undergraduates. The intellectual merit of this project lies in the strong basis on models that have been successful in other disciplines. The collaborative represents a team of investigators with significant expertise in educational reform and transformation. Implementation will take place at the diverse set of institutions represented by the collaborative partners, thus providing an excellent environment for evaluation of this innovative approach and illustrating the possibilities for replication and adoption by a wide range of institutions.The broader impacts of the project lie with the potential increasing the participation of under-represented groups in computer science. The method to be tested is relative low cost and straightforward to implement, thus it has a high potential for broad impact across the country.