Collaborative Research: Supporting Pre-Service Teachers Mathematical Discourse through Co-Design of Teaching Simulation Tools

协作研究：通过教学模拟工具的共同设计支持职前教师的数学话语

• 批准号: 2315436
• 负责人: Jennifer Chiu
• 金额: $ 25万
• 依托单位: University of Virginia Main Campus
• 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
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315436&HistoricalAwards=false
• 关键词: Collaborative; Research; Supporting; Pre; Service

This project aims to serve the national interest by developing, implementing, and evaluating simulations that will improve evidence-based mathematics teaching practices. The project will create a suite of open-source, freely available simulations that support teachers to foster rich mathematical discourse in their classrooms. While doing so, it will advance knowledge of how to design simulation tools for teacher learning and will articulate design principles for creating technologies for teacher preparation programs. The project will also create open data sets of the mathematical dialogue and professional development materials so that other teacher educators can develop their own customized scenarios.The project leverages the web-based AI-based Classroom Teaching Simulation (ACTS) Core system that enables teacher candidates to rehearse engaging with a student about a specific mathematical task while interacting with a dynamic mathematical visualization and then provides automated tailored feedback on teacher performance. Simulations will be co-designed with mathematics methods instructors and implemented within pre-service elementary mathematics methods courses. The goal is to provide automated feedback to pre-service teacher candidates on the types of mathematical questions they ask and evaluate the impact on pre-service teacher candidates’ use of productive mathematical questioning during simulation settings. The NSF IUSE: EDU 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. The Robert Noyce Teacher Scholarship program contributed to the funding of this project.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.

该项目旨在通过开发，实施和评估将改善基于证据的数学教学实践的模拟来实现国家利益。该项目将创建一套开源，免费的可用模拟，以支持教师在课堂上培养丰富的数学话语。在这样做的同时，它将提高有关如何设计教师学习的模拟工具的知识，并阐明为教师准备计划创建技术的设计原则。该项目还将创建数学对话和专业发展材料的开放数据集，以便其他教师教育者可以开发自己的自定义场景。该项目利用基于网络的基于网络的基于AI的课堂教学模拟（ACTS）核心系统，该系统使教师候选人能够与学生进行互动，同时与一项特定的数学任务进行互动，同时与动态数学进行交互，然后提供动态数学的效果，并为教师提供自然的效率。模拟将与数学方法指导者共同设计，并在服务前基本数学方法课程中实现。目的是为他们提出的数学问题类型提供自动反馈，并评估对职前教师候选人在模拟设置期间对产品数学提问的影响的影响。 NSF IUSE：EDU计划支持研发项目，以提高所有学生STEM教育的有效性。通过参与的学生学习轨道，该计划支持了承诺实践和工具的创建，探索和实施。罗伯特·诺伊斯（Robert Noyce）教师奖学金计划为该项目的基础做出了贡献。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估，被认为是珍贵的支持。