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

教师对学生的学习非常重要，但研究人员对教师每时每刻与学生做什么的数据却少得惊人。什么样的教学动作和即兴反应是高效练习的特征？为了更好地了解和支持美国K-12 STEM教师，该孵化器项目将开发一个“导师观察站”网络。“导师观察站是一种学习环境，记录教师与学生的互动沿着有关互动背景的信息。这些观测站可以建在教室里、教师教育的数字模拟中、在线辅导平台中以及其他新环境中。这些观测站将以共享格式记录他们的数据，使研究人员能够编辑一个包含100万个教师与学生互动时刻的数据集。从这些数据中，研究人员将能够更深入地了解STEM教师的实践，识别高效的实践，并开发培训数据，为新一代人工智能工具提供信息，以支持教师和学生的学习。鉴于隐私、安全和信任等重要问题，教师和社区成员的代表将在导师观察站和百万导师移动数据集的道德发展中发挥至关重要的作用。在此次孵化器资助期间，该网络将召集五个工作组，涉及人机辅导平台、课堂录音、教学模拟、导师观察站的新兴模型、家庭和老师的参与。这些工作组将执行一系列任务，重点是利益相关者的参与，愿景，原型设计，试点测试和传播。该网络将共同开发导师观察站网络的详细原型，保护教师和学生隐私的指导方针，以及社区参与，以及实施和评估计划，包括一组排队申请中等规模研究基础设施补助金的合作伙伴网站。该领域的预期收益是一个大型数据集，可用于调查如何优化学生的STEM学习体验，为构建更智能的STEM导师奠定技术基础，以及为关键数字基础设施奠定基础，使美国更能适应未来的学习中断。该项目通过与比尔梅林达盖茨基金会，施密特期货和沃尔顿家族基金会的合作提供支持。资金也由NSF的发现研究preK-12计划（DRK-12）提供。DRK-12计划旨在通过研究和开发创新资源，模型和工具，显着提高preK-12学生和教师的科学，技术，工程和数学（STEM）的学习和教学。DRK-12项目中的项目建立在STEM教育的基础研究以及为拟议项目提供理论和经验依据的先前研究和开发工作的基础上。该奖项反映了NSF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。

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.