CSEMS Scholarship Program

莱特州立大学(WSU)的计算机科学、工程和数学奖学金(CSEMS)计划提供学生奖学金，以激励和支持有学识但经济困难的学生完成科学、工程或技术领域的高等教育学位。该方案符合1998年《美国竞争力和劳动力改进法》，该法案解决了国家劳动力增加CSEMS领域毕业生人数的需要。一项三管齐下的努力旨在为来自俄亥俄州社区学院的工程平行学生、来自WSU内部/外部市场来源的NSF-CSEMS奖学金获得者、来自俄亥俄州主要城市的CSEMS研究生和Wright Stepp少数族裔工程计划(MEP)校友提供工程教育机会。威斯康星州立大学CSEMS项目的成果是改善了对学生的教育，提高了完成学位的保留率，改善了专业发展/就业，增加了来自代表性不足群体的研究生研究员，以及西州大学与当地企业实体之间的伙伴关系。主要目标是通过在现有莱特州立大学学生支持基础设施的支持下，在质量科学、认知/非认知选择方法、运筹学、主动学习和技术指导(评估、规划、教学和评估)方面的项目管理领导来实现的。自适应分支技术的使用也被作为一种技能评估方法进行了研究，以消除对代表不足的群体考生的测试偏见，提高数学课程的排名，并利用帕累托分析、差距分析和价值分析缩短毕业时间。

The Computer Science, Engineering, and Mathematics Scholarships (CSEMS) program at Wright State University (WSU) provides student scholarships to motivate and enable the completion of higher education degrees in science, engineering or technology fields by scholarly but financially disadvantaged students. The program is in accord with the American Competitiveness and Workforce Improvement Act of 1998 which addresses the national workforce need to increase the number of graduates in CSEMS fields. A three-pronged effort was designed to provide engineering education opportunities for engineering parallel students from Ohio Community Colleges, recipients of NSF-CSEMS scholarships from internal/external WSU market sources, graduate CSEMS fellows from major Ohio urban cities and Wright STEPP Minority Engineering Program (MEP) alum. The outcomes of the CSEMS program at WSU are improved education for students, increased retention to degree completion, improved professional development/employment, increased graduate fellows from underrepresented groups, and partnerships between WSU and local corporate entities. The primary objective is accomplished by project management leadership in quality sciences, cognitive/non- cognitive selection methods, operations research, active learning, and technical instruction (assessment, planning, teaching and evaluation) supported by existing Wright State University student-support infrastructure. The use of Adaptive Branching Techniques was also researched as a method of skill assessment to eliminate test bias for underrepresented group candidates, improve placement in math courses, and shorten the time to graduation using Pareto, Gap and Value analysis.