Improving the Undergraduate Learning and Teaching Experience Through Innovative Course Clustering
Improving the Undergraduate Learning and Teaching Experience Through Innovative Course Clustering
批准号:
1611843
负责人:
Robert Aslanian
金额:
$29.88万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2020-08-31
中文摘要
泽西城大学的生物和化学系将建立一个新的实验室课程,探索“课程群”的概念。这些都是先进的本科课程,跨越生物和化学的逻辑,跨学科的分组。集群内的学生将协同工作,追求一个单一的共同项目使用各自的实验室组件,无论他们在哪个课程注册。这将模拟涉及多个学科的跨职能,真实的研究经验,以解决现实世界的问题,就像在工业环境中所做的那样。学生将在协作环境中相互交流,并培养STEM劳动力所需的技能。由于泽西城大学学生的多样性,该项目将增加追求STEM的学生的数量和多样性。该项目将开发一种独特的方法,以改善和扩大生物和化学实验室课程的范围。课程群将形成一个综合的方法来解决现实世界的研究课题在本科设置。这种方法反映了研究驱动型组织用来解决问题的范式,因此学生将培养毕业后成为劳动力所需的技术技能和软技能。与项目评估员合作,研究人员将产生新的证据,说明课程聚类如何增加学生对基本科学原理的理解,以及它如何影响非认知学生的结果。预期成果包括提高自我效能、保留率和毕业率、学生和教师对课程的满意度以及在工业职位和研究生院的安置。将使用经过验证的调查工具评估计划成功与否,并与历史数据进行比较。
英文摘要
The biology and chemistry faculty of New Jersey City University will institute a new laboratory curriculum exploring the concept of "course clusters". These are logical, cross-disciplinary groupings of advanced undergraduate courses that span both biology and chemistry. Students within a cluster will work collaboratively to pursue a single common project using their respective laboratory components, regardless of which course they are enrolled in. This will model a cross-functional, authentic research experience involving multiple disciplines to solve a real-world problem, as is done in an industrial setting. Students will interact with each other in a collaborative environment and develop the skills needed for the STEM workforce. Due to the diverse nature of students at New Jersey City University, the project will increase the number and diversity of students pursuing STEM.This project will develop a unique methodology to improve and broaden the scope of the biology and chemistry laboratory curriculum. The course clusters will form an integrated approach to addressing real-world research topics in an undergraduate setting. This approach mirrors the paradigm utilized by research-driven organizations to solve problems, so students will develop both the technical skills and the soft skills required to be workforce-ready upon graduation. Working with a project evaluator, the investigators will generate new evidence regarding how course-clustering increases student understanding of fundamental scientific principles, and how it influences non-cognitive student outcomes. The expected outcomes include improved self-efficacy, retention and graduation rates, satisfaction with the curriculum for both students and faculty, and placement in industrial positions and graduate schools. Program success will be assessed using validated survey tools and compared to historical data.
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