Enriching the Undergraduate Experience through Personalized Learning and Mentoring

在美国国家科学基金会科学、技术、工程和数学奖学金（S-STEM）计划的资助下，“通过个性化学习和指导丰富本科生体验”计划将支持成绩优异、收入较低的计算机科学和工程专业学生。在密苏里州科技大学获得财务证明。这个为期四年的S-STEM轨道2项目将提供奖学金给21个财务风险的学生，分三批七名学生。第一批将获得三年的资助;第二批将获得两年的资助;第三批将获得一年的资助。 除了奖学金，学生将获得教师指导，并参加社区建设活动。 他们还将通过一个新的软件程序获得帮助，在他们具有挑战性的计算课程之一，可以提供个性化的学习机会。这个S-STEM轨道2项目的目标是a）提高参与学生的保留率和毕业率，理想情况下在五年内达到100%; B）达到100%的就业机会或研究生课程适合参与学生的才能和兴趣; c）评估在项目期间开展的活动，以确定可扩展到更大学生群体并适用于其他学科和机构的最佳做法。将使用研究人员开发的PERCEPOLIS网络基础设施为学者提供计算机工程和计算机科学课程的个性化学习支持。学者将参与专业发展机会，旨在更好地激励他们为计算机科学职业和/或研究生教育做好准备，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.

With funding from the NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program, the "Enriching the Undergraduate Experience through Personalized Learning and Mentoring" program will support high-achieving, low-income computer science and engineering students with demonstrated financial at the Missouri University of Science and Technology. This four-year S-STEM Track 2 project will provide scholarships to 21 financially at-risk sophomores, in three cohorts of seven students. The first cohort will be funded for three years; the second cohort will be funded for two years; and the third cohort will be funded for one year. In addition to the scholarships, students will receive faculty mentoring and participate in community building activities. They will also receive help in one of their challenging computing courses through a new software program that can deliver personalized learning opportunities.The objectives of this S-STEM Track 2 project are to a) increase retention and graduation rates of participating students, ideally to 100% within five years; b) attain 100% placement in jobs or graduate programs well-suited to participating students' talents and interests; c) evaluate the activities carried out during the project to identify best practices that can be scaled to larger student cohorts and adapted to other disciplines and institutions. Personalized learning support in the computer engineering and computer science courses will be provided to the scholars using the PERCEPOLIS cyber infrastructure developed by the investigators. Scholars will engage in professional development opportunities that aim to better motivate and prepare them for computer science careers and/or graduate education, with a blended learning approach supported by the PERCEPOLIS software that enables collection of data on learning outcomes and engagement.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.