Targeted Research to Identify Mathematics Competencies and Align Mathematics Education for Skilled Technicians in Advanced Manufacturing

有针对性的研究，以确定先进制造技术人员的数学能力并调整数学教育

• 批准号: 2100062
• 负责人: Michael Hacker
• 金额: $ 79.93万
• 依托单位: Hofstra University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100062&HistoricalAwards=false
• 关键词: Targeted; Research; Identify; Mathematics; Competencies

This project aims to serve the national interest by aligning the mathematics taught in technical programs with the needs of advanced manufacturing technicians in the workplace. To do so, the research team will conduct a three-year research and development project that builds upon recommendations of the NSF-supported Needed Math Conference held in 2018. The project will establish connections between the American Mathematical Association of Two-Year Colleges and manufacturing educators and industrialists. The project intends to use this collaboration to: (1) develop and validate situations encountered by technicians in several manufacturing sectors; (2) identify the mathematics competencies technicians need in those situations; and (3) enhance communication between industry leaders and community college technical faculty to identify and align the mathematics needed by skilled technicians in manufacturing. It is expected that the project will improve mathematics education in technical programs. In addition, the project may provide a model for how partnerships involving academia, industry, and other stakeholders can enable curriculum reform to meet present and future industry needs.To accomplish its goals, the project will hold a series of Collaborative Working Group meetings across the country to establish and sustain changes in mathematics instruction for students pursuing certificates and degrees for careers in advanced manufacturing. Institutions and organizations involved in this project are Hofstra University, City University of New York, Holyoke Community College, Rhodes State College, American Mathematical Association of Two-Year Colleges, Consortium for Mathematics and its Applications, Florida Advanced Technological Education Center, Central Virginia Community College, Support Center for Microsystems Education, Gadsden State College, Ohlone College, and the Center for Supply Chain Automation. The project is designed to develop resources that inform the teaching of mathematics, coupled with a mixed methods research investigation. Drawing on work by Simon and Goes, a validation panel will review workplace scenarios using the Validation Rubric for Expert Panels. The qualitative (grounded theory) and quantitative (descriptive, linear regression, ANOVA, cluster analysis) research design will integrate data collection and analyses that are guided by a set of four research questions that focus on: (1) the alignment between mathematics competencies for the technical workplace and the mathematics taught in technical programs; and (2) the effectiveness of collaborative working groups as mechanisms for change in the post-secondary mathematics education of skilled manufacturing technicians. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation’s economy.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.

该项目旨在通过将技术课程中教授的数学与工作场所先进制造技术人员的需求相结合来服务于国家利益。 为此，该研究团队将开展一项为期三年的研发项目，该项目以2018年举行的NSF支持的Needed Math会议的建议为基础。 该项目将建立美国两年制学院数学协会与制造业教育工作者和工业家之间的联系。 该项目旨在利用这种合作：（1）开发和验证技术人员在几个制造业部门遇到的情况;（2）确定技术人员在这些情况下需要的数学能力;（3）加强行业领导者和社区学院技术教师之间的沟通，以确定和调整制造业熟练技术人员所需的数学。 预计该项目将改善技术项目中的数学教育。 此外，该项目还将为学术界、工业界和其他利益相关者如何通过合作推动课程改革以满足当前和未来的行业需求提供一个范例。为了实现其目标，该项目将在全国范围内举行一系列合作工作组会议，为攻读先进制造业证书和学位的学生建立和维持数学教学的变革。 参与该项目的机构和组织有霍夫斯特拉大学、纽约城市大学、霍利奥克社区学院、罗兹州立学院、美国两年制学院数学协会、数学及其应用联盟、佛罗里达高级技术教育中心、中弗吉尼亚社区学院、微系统教育支持中心、加兹登州立学院、奥隆学院、供应链自动化中心 该项目的目的是开发资源，告知数学教学，再加上混合方法的研究调查。 根据Simon和Goes的工作，验证小组将使用专家小组的验证规则审查工作场所场景。定性（扎根理论）和定量（描述性，线性回归，方差分析，聚类分析）研究设计将整合数据收集和分析，这些数据收集和分析由一组四个研究问题指导，重点是：（1）技术工作场所的数学能力与技术课程中教授的数学之间的一致性;和（2）有效的协作工作组作为机制的变化，在中学后的数学教育的熟练制造技术人员。该项目由先进技术教育计划资助，该计划侧重于为推动国家经济的先进技术领域培养技术人员。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。