Capturing and Leveraging Data from Teacher-Student Interactions to Improve STEM Learning: An Incubator Project

捕获和利用师生互动中的数据来改善 STEM 学习：孵化器项目

• 批准号: 2321499
• 负责人: Justin Reich
• 金额: $ 50万
• 依托单位: Massachusetts Institute of Technology
• 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=2321499&HistoricalAwards=false
• 关键词: Capturing; Leveraging; Data; Teacher; Student

Teachers are extraordinarily important to student learning, but researchers have surprisingly little data about what teachers do moment-to-moment with students. What are the instructional moves and improvisational responses that characterize highly effective practice? To better understand and support U.S. K-12 STEM teachers, this Incubator project will develop a network of "tutor observatories." Tutor observatories are learning environments that record teacher engagements with students along with information about the context of the interaction. These observatories can be built in classrooms, in digital simulations for teacher education, in platforms for online tutoring, and other new environments. These observatories will record their data in a shared format that allows researchers to compile a dataset of one million moments where teachers interact with students. From these data, researchers will be able to gain a deeper understanding of STEM teacher practice, identify highly effective practices, and develop training data that can inform a new generation of artificially intelligent tools to support teachers and student learning. Given important issues of privacy, security, and trust, representatives of teachers and community members will play a vital role in the ethical development of the tutor observatories and million tutor moves dataset.During the period of this incubator grant, the network will convene five working groups related to human and computer tutoring platforms, classroom recordings, teaching simulations, emerging models for tutor observatories, and family and teacher engagement. These working groups will conduct a set of tasks focused on stakeholder engagement, visioning, prototyping, pilot testing, and dissemination. Together the network will develop detailed prototypes for a network of tutor observatories, guidelines for protecting teacher and student privacy, and community engagement, and a plan for implementation and evaluation, including a set of partner sites lined up for application to the Mid-scale Research Infrastructure grant. The expected benefit to the field is a large dataset that can be used to investigate questions about how to optimize students' STEM learning experiences, the foundation for technology to build more intelligent STEM tutors, and the groundwork for critical digital infrastructure to make the U.S. more resilient to future interruptions in learning.This project is supported through a partnership with the Bill & Melinda Gates Foundation, Schmidt Futures, and the Walton Family Foundation. Funding is also provided by the Discovery Research preK-12 program (DRK-12) program at NSF. The DRK-12 program seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.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.

教师对学生的学习非常重要，但是研究人员几乎没有关于老师与学生做什么的数据。具有高效实践的特征的教学动作和即兴反应是什么？为了更好地理解和支持美国K-12 STEM教师，该孵化器项目将开发一个“导师观测者”网络。导师的观察者是学习环境，可记录教师与学生的交往以及有关互动背景的信息。这些观察者可以在教室，教师教育的数字模拟，在线辅导平台和其他新环境中构建。这些观察者将以共享格式记录他们的数据，使研究人员能够在教师与学生互动的一百万个时刻编译数据集。从这些数据中，研究人员将能够深入了解STEM教师实践，确定高效的实践，并制定培训数据，以告知新一代人的人工智能工具，以支持教师和学生学习。鉴于重要的隐私，安全和信任问题，教师和社区成员的代表将在导师观测站的道德发展中发挥至关重要的作用，而百万导师移动数据集。这些工作组将执行一系列专注于利益相关者参与，远见，原型，试点测试和传播的任务。该网络将共同开发详细的原型，用于导师观察员网络，保护教师和学生隐私的指南以及社区参与，以及实施和评估的计划，包括一组伴侣站点，以适用于中等规模的研究基础架构赠款。对该领域的预期好处是一个大型数据集，可用于调查有关如何优化学生的STEM学习经验的问题，建立更聪明的STEM导师的技术的基础，以及关键的数字基础架构的基础工作，使美国更适合于未来的学习中断。 NSF的Discovery Research Prek-12计划（DRK-12）计划还提供了资金。 DRK-12计划通过研究和开发创新的资源，模型和工具来显着通过PreK-12学生和教师来显着增强科学，技术，工程和数学（STEM）的学习和教学。 DRK-12计划中的项目基于STEM教育和先前的研发工作的基础研究，为拟议项目提供了理论和经验的理由。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。