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Mathematics and Data for Social Justice Summer Seminar

Mathematics and Data for Social Justice Summer Seminar
数学和数据促进社会正义夏季研讨会
批准号:
2303556
负责人:
John Zobitz
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-01-01 至 2023-12-31

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中文摘要
翻译
该项目旨在为国家利益服务,支持数学和统计教师的专业发展,以提高数学和统计教育的公平性。循证实践表明,致力于为当今学习者的多样性设计具有文化相关性和顺应性的课程和教学法,是促进这种公平的一个途径。通过这个项目,中学后数学和统计学院将召开为期三天的密集研讨会,使参与者掌握技能和专业知识,以便有意义地将选举问题和环境正义等社会正义主题纳入其课程和教学实践。研讨会后的活动包括由美国数学协会(MAA-NCS)的中北部主办的两个区域会议的会议或研讨会,以及该部门教师的虚拟参与,以提供持续的合作和点对点支持,因为教师改变了他们的教学。通过让不同机构的教师参与进来,本次研讨会将成为持续专业发展的区域模式,旨在促进STEM领域的公平。数学与数据促进社会正义夏季研讨会将支持两年制和四年制中学后数学和统计教育工作者努力通过社会正义课程和教学法将教学转变为具有文化相关性和响应性。研讨会源于解决不平等问题的需要,并减少STEM获取,参与和持久性方面的持续差距。与会者预期的四项成果将指导研讨会的工作。首先是提高他们将公平和社会正义问题纳入教学实践的能力。第二是参与和合作,在实践社区的重点是公平和社会正义的数学。第三是发展能力,促进课堂上关于公平和社会正义的讨论。第四是调整或制定数学和社会正义方面的新课程。研讨会结束后,与会者将参加一个实践社区,鼓励进一步编写和传播任何已编写的课堂材料,并相互提供即时和有针对性的协作支持。实践社区将亲自参加MAA-NCS的半年度会议,并在研讨会后的一年中进行虚拟协作和对话。将邀请与会者参加重点小组讨论,从而为千年评估行动-国家统计系统理事会的结构和做法提供信息。开发的资源将通过MAA的专业会议和在线讨论平台共享。NSF IUSE:EDU计划支持研究和开发项目,以提高所有学生的STEM教育的有效性。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。
英文摘要
This project aims to serve the national interest by supporting professional development for mathematics and statistics faculty to increase equity within mathematics and statistics education. Evidence-based practices show that a commitment to culturally relevant and responsive curriculum and pedagogy designed for the diversity of today’s learners is one way to advance such equity. Through this project post-secondary mathematics and statistics faculty will convene for an intensive three-day seminar that will equip participants with skills and expertise to meaningfully incorporate social justice themes such as electoral issues and environmental justice, into their curricula and teaching practices. Post-seminar activities include sessions or workshops at two regional conferences hosted by the North Central Section of the Mathematical Association of America (MAA-NCS), and virtual engagement of faculty from the section to provide ongoing collaboration and peer-to-peer support as faculty make changes to their teaching. By engaging faculty across diverse institutions, this seminar will serve as a regional model for sustained professional development aimed at advancing equity in STEM fields. The Mathematics and Data for Social Justice Summer Seminar will support two and four-year post-secondary mathematics and statistics educators in their efforts to transform their teaching to be culturally relevant and responsive through social justice curricula and pedagogies. The seminar derives from the need to address inequities and reduce persistent gaps in STEM access, engagement, and persistence. Four expected outcomes for the participants guide the work of the seminar. First is to increase their ability to incorporate equity and social justice issues into their teaching practice. Second is to engage and collaborate in a community of practice focused on equity and social justice in mathematics. Third is to develop capacity to facilitate discussions of equity and social justice in the classroom. Fourth is to adapt or generate new curricula in mathematics and social justice. Following the seminar participants will engage in a community of practice that will encourage further development and dissemination of any developed classroom materials and to provide immediate and responsive collaborative support to each other. The community of practice will engage in person at semi-annual conferences of the MAA-NCS, and connect in virtual collaboration and conversations throughout the year following the seminar. Participants will be invited to focus group discussions, which will thereby inform the structures and practices of the MAA-NCS governing board. Developed resources will be shared through professional meetings and online discussion platforms of the MAA. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students.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.
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会议论文
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