Implementation Project: Achieving Greater Confidence and Competence in Quantitative and Computational Skills in STEM Disciplines at Fisk University

实施项目为历史上的黑人学院和大学（HBCU）提供支持，以设计，实施，研究和评估全面的机构努力，以增加获得科学，技术，工程和数学（STEM）本科学位的学生人数，并通过加强教育和研究来提高他们的准备质量。菲斯克大学的这个项目试图在以前成功的努力的基础上，增加非裔美国学生在STEM学科的参与。 该项目的目标是提高本科生在定量和计算方面的信心和能力，特别强调所有STEM学科中与生物相关的科学，以满足这些学科不断变化的需求，从而吸引、准备和维持代表性不足的本科STEM专业的研究生培训和职业。该项目的目标是：提高教师的信心和能力，在定量和计算方法在自然科学和，同时，提高认识的当代问题，在生物相关的生命科学的教师在数学和计算机科学;发展和研究跨学科的实践社区模式，该模式经过修改，包括一个互惠的，半结构化的教学组成部分;通过尽早将这些工具引入所需的课程，提高学生在定量和计算方法方面的信心和能力;并使用补充教学来维持和加强看门人课程的深度学习。每一个目标都有一套以证据为基础的战略和活动，其中一些将在这所大学的设置有效性进行研究。 该项目将由内部和外部咨询委员会以及评估员提供建议和评估其有效性。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标准进行评估，被认为值得支持。

Implementation Projects provide support to Historically Black Colleges and Universities (HBCUs) to design, implement, study, and assess comprehensive institutional efforts to increase the number of students receiving undergraduate degrees in science, technology, engineering and mathematics (STEM) and enhance the quality of their preparation by strengthen education and research. The project at Fisk University seeks to build on previous successful efforts to increase participation of African-American students in STEM disciplines. The goal of the project is to increase the quantitative and computational confidence and competence of undergraduates, with a particular emphasis on biologically relevant sciences in all STEM disciplines, to meet the evolving needs of those disciplines so as to attract, prepare and sustain under-represented undergraduate STEM majors for post-graduate training and careers.The project has the objectives to: increase faculty confidence and competence in quantitative and computational approaches in the natural sciences and, reciprocally, increase awareness of contemporary problems in the biologically relevant life sciences for faculty in mathematics and computer science; develop and study the transdisciplinary Community of Practice model, which is modified to include a reciprocal, semi-structured instructional component; increase student confidence and competence in quantitative and computational approaches by early introduction of these tools into the required curriculum; and sustain and enhance deeper learning in gatekeeper courses using Supplemental Instruction. Each objective is supported by a set of evidence-based strategies and activities, some of which will be studied for effectiveness in the setting of this university. The project will be advised and evaluated for effectiveness by internal and external advisory boards and by an evaluator.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.