Developing a Statewide Professional Development Network for Effective Teaching of Undergraduate Quantitative Reasoning Course

建立全州专业发展网络，以实现本科定量推理课程的有效教学

• 批准号: 2216197
• 负责人: Gregory Foley
• 金额: $ 30万
• 依托单位: Ohio University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2216197&HistoricalAwards=false
• 关键词: Developing; Statewide; Professional; Development; Network

This project will serve the national interest by improving instruction in introductory quantitative literacy courses intended for undergraduates pursuing degrees outside of STEM. Quantitative literacy improves decision making related to health, finances, and citizenship, empowering people to make informed decisions. This project will provide professional development for instructors of Quantitative Reasoning (QR) courses at 2-year and 4-year institutions across Ohio. These courses are in the process of being standardized, guaranteeing credits can transfer between any of the state’s public institutions of higher education. The project intends to prepare pairs of mathematics instructors to serve as institutional leaders who will support their colleagues within a larger network of QR educators across the state. Over a 3-year period, the network plans to span 24 institutions and engage over 160 faculty. Like many other states, Ohio’s mathematics teaching workforce is diverse; it includes adjuncts, annually contracted faculty, graduate teaching assistants (GTAs), and high school teachers who teach dual-enrollment courses. The project hopes to address how best to prepare and support a broad instructional workforce to teach high-quality QR at scale. The project’s network model and findings could be adapted to additional gateway courses (e.g., College Algebra, Precalculus, Calculus, Statistics, and Data Science) by other states or multi-institutional partnerships.The project team will approach the project's professional development and research through a cycle of implementation and revision. This iterative process is meant to strengthen the network and its mechanisms over the life of the project. Faculty professional development will focus on an inquiry-based learning (IBL) approach to QR instruction, placing instructional quality front and center. The network will contribute to an Ohio QR pathway aligned with the Ohio Department of Higher Education’s statewide program for student transfer and success. Course content and instructional strategies will be aligned with statewide QR requirements, helping participating faculty weave inquiry into their teaching. Faculty will focus on designing and introducing cognitively demanding QR assessments and offering students the chance to engage in high-level mathematics communication. The project’s research agenda plans to focus on instructional quality as measured by the IQA toolkit, a tool that only recently have been applied to higher education. Classroom observations and analysis of student work will generate new knowledge on how QR instructors might engage their students in cognitively demanding tasks and high-level mathematical communication. The project evaluation will be supported by an experienced evaluator and a highly-qualified advisory board that will assess the project’s progress towards its goals. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

该项目将通过改善面向攻读STEM以外学位的本科生的入门定量素养课程的教学，为国家利益服务。量化素养可以改善与健康、财务和公民身份有关的决策，使人们能够做出明智的决定。该项目将为俄亥俄州两年制和四年制院校的定量推理（QR）课程教师提供专业发展。这些课程正在标准化过程中，以保证学分可以在任何国家的公立高等教育机构之间转换。该项目旨在培养成对的数学教师作为机构领导者，他们将在全州更大的QR教育者网络中支持他们的同事。在3年的时间里，该网络计划覆盖24所院校，聘用160多名教师。像许多其他州一样，俄亥俄州的数学教师队伍也是多样化的；它包括兼职教师、年度合同教师、研究生教学助理（GTAs）和教授双招生课程的高中教师。该项目希望解决如何最好地准备和支持广泛的教学队伍，以大规模地教授高质量的QR。该项目的网络模型和研究结果可以适用于其他州或多机构合作开设的其他门户课程（如大学代数、微积分预科、微积分、统计学和数据科学）。项目团队将通过实施和修订的周期来处理项目的专业发展和研究。这个迭代过程是为了在项目的生命周期中加强网络及其机制。教师的专业发展将侧重于基于探究的学习（IBL）方法来进行QR教学，将教学质量放在首位和中心。该网络将为俄亥俄州QR路径做出贡献，与俄亥俄州高等教育部的全州学生转学和成功计划保持一致。课程内容和教学策略将与全州QR要求保持一致，帮助参与的教师将探究融入他们的教学中。教师将专注于设计和引入认知要求高的QR评估，并为学生提供参与高水平数学交流的机会。该项目的研究议程计划将重点放在IQA工具包衡量的教学质量上，这是一个最近才应用于高等教育的工具。课堂观察和学生作业分析将产生关于QR教师如何让学生参与认知要求高的任务和高水平数学交流的新知识。项目评价将由一名经验丰富的评价员和一个高质量的咨询委员会支持，该委员会将评估项目实现其目标的进展情况。NSF IUSE: EHR计划支持研究和开发项目，以提高所有学生STEM教育的有效性。通过参与学生学习轨道，该计划支持有前途的实践和工具的创建，探索和实施。该奖项反映了美国国家科学基金会的法定使命，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。