RAPID: Making the Transition to Remote Science Teaching and Learning

在全国范围内，由于COVID-19，教师已经转向远程授课。这种向远程教学的过渡给中学科学教师带来了挑战，他们以前通过实证测试和对现实世界现象的观察让学生进行动手学习，但他们的学生现在可能没有设备或材料在家里进行动手调查。在这个项目中，康科德财团将开发和测试一个远程专业发展计划，旨在支持中学科学教师从面对面过渡到远程教学，同时仍然为学生提供从经验数据中学习的机会。通过这个专业发展计划，科学教师将获得使用开源工具的实践，该工具在复杂系统的背景下教授基于数据的建模。例如，这一工具将使学生能够利用与大流行病有关的数据开发能够预测相关结果的模型。随着学生培养与建模相关的技能，他们将为未来的STEM（科学，技术，工程和数学）劳动力做好更好的准备，这越来越需要解释和使用大规模数据的能力。研究将确定专业发展的特点，支持教师提供远程教学，与下一代科学标准（NGSS）有关建模和系统思维。Concord Consortium将通过开源软件为10名中学科学教师提供使用复杂系统建模的远程专业开发。他们将收集调查，访谈和教师生成的课程材料，以确定教师如何制定远程教学的教学策略，这些策略旨在支持学生建模技能和实践的发展。此外，他们将从学生的工作中收集数据，包括来自软件的日志文件，以确定学生如何在远程教学的背景下展示建模实践和系统知识。对这些数据进行归纳描述性分析的结果将提交给经验期刊。其他传播材料将概述支持教师修改与NGSS一致的课程材料以进行远程交付的设计原则。该项目由学生和教师创新技术体验（ITEST）计划资助，该计划支持建立对实践，计划元素，背景和过程的理解的项目，有助于增加学生对科学，技术，工程，信息和通信技术（ICT）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。

Across the nation, teachers have shifted to delivering instruction remotely due to COVID-19. This transition to remote instruction has presented challenges for secondary science teachers who previously engaged their students in hands-on learning through empirical tests and observations of real-world phenomena, but whose students might not now have the equipment or materials in their homes to enable hands-on investigations. In this project, Concord Consortium will develop and test a remote professional development program that is designed to support secondary science teachers in making the transition from face-to-face to remote instruction, while still providing their students with engaging opportunities to learn from empirical data. Through this professional development program, science teachers will gain practice in using an open-source tool that teaches data-based modeling in the context of complex systems. For example, this tool will enable students to use data related to the pandemic to develop models that can predict relevant outcomes. As students develop skills related to modeling, they will be better prepared for the STEM (science, technology, engineering, and mathematics) workforce of the future, which increasingly requires the ability to interpret and use large-scale data. Research will identify the features of professional development that support teachers in providing remote instruction that is aligned with the Next Generation Science Standards (NGSS) related to modeling and systems thinking. Concord Consortium will provide remote professional development to ten secondary science teachers on modeling using complex systems via open-source software. They will collect surveys, interviews, and teacher-generated curricular materials to ascertain how the teachers develop pedagogical strategies for remote instruction, which are designed to support the development of their students' modeling skills and practices. Additionally, they will collect data from student work, including log files from the software, to determine how the students demonstrate modeling practices and knowledge of systems in the context of this remote instruction. The results from inductive descriptive analyses of these data will be submitted to empirical journals. Other dissemination materials will outline the design principles that support teachers in modifying NGSS-aligned curricular materials for remote delivery. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.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.