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

题目：ITWF合作研究：增加本科女生和少数族裔在计算机科学领域的代表性：0420436，PI Horwitz，威斯康星大学麦迪逊分校cns 0419340， PI Huss-Lederman，伯洛伊特学院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，马里兰洛约拉学院cns 0420368， PI Biggers，乔治亚理工学院cns 0420433， PI Ryder，这个ITWF合作项目实施了一种新的方法来介绍计算机科学，目标是增加女性和代表性不足的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。该项目将新兴学者计划和同行领导的团队学习方法（在数学和其他科学领域已被证明是成功的）应用于计算机科学。这是威斯康星大学麦迪逊分校、伯洛伊特学院、杜克大学、佐治亚理工学院、马里兰洛约拉学院、普渡大学、罗格斯大学和威斯康星大学密尔沃基分校的合作项目。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。本课程要求学生以小组为单位，在优秀本科生的小组指导下解决具有挑战性的问题。这个项目的智力价值在于它以在其他学科中已经成功的模型为坚实基础。该协作组代表了一组在教育改革和转型方面具有重要专业知识的调查人员。执行工作将在合作伙伴所代表的各种机构中进行，从而为评价这一创新方法提供良好的环境，并说明各种机构复制和采用的可能性。该项目更广泛的影响在于，它有可能增加未被充分代表的群体对计算机科学的参与。待测试的方法成本相对较低，实施简单，因此在全国范围内产生广泛影响的潜力很大。

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.