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

标题：ITWF合作研究：增加本科生女性和少数民族在计算机科学中的代表性CNS 0420436，皮奥维茨大学。威斯康星-麦迪逊CNS 0419340，皮胡斯-莱德曼，贝洛伊特学院CNS 0420312，皮芒森，大学。威斯康星-密尔沃基CNS 0420337，皮邓斯莫尔，普渡大学CNS 0420343，皮罗杰，杜克大学CNS 0420358，皮宾克利，洛约拉马里兰CNS 0420368，皮比格斯，佐治亚理工学院CNS 0420433，皮赖德，罗格斯大学这个合作的ITWF项目实施了一种新的计算机科学入门方法，目标是增加女性和未被充分代表的少数族裔在本科计算机科学学位课程中的招生和保留。该项目使新兴学者计划和同行领导的团队学习方法适用于计算机科学，这些方法在数学和其他科学中已被证明是成功的。它是威斯康星大学麦迪逊分校、贝洛伊特学院、杜克大学、佐治亚理工学院、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合作的项目。该项目包括有针对性地招募具有强大数学和科学背景的学生参加新课程。这门课程包括由优秀本科生以小组形式解决挑战性问题的学生。这个项目的智力价值在于，它以在其他学科中取得成功的模型为基础。该合作代表了一支在教育改革和转型方面拥有丰富专业知识的调查团队。将在由合作伙伴代表的不同机构实施，从而为评价这一创新方法提供一个极好的环境，并说明广泛的机构复制和采用的可能性。该项目的更广泛影响在于有可能增加代表不足的群体参与计算机科学。被测试的方法成本相对较低，实施起来也很简单，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.