INT: Project Learning with Automated, Networked Supports (PLANS)

基于自动化、网络化支持（PLANS）的项目学习将有助于中学的科学和工程教育。该软件技术将在学生开展基于项目的工作时支持深度学习。具体来说，计划将把用于头脑风暴、计划、建模、草图、数据收集、绘图、设计和测试的工具与自动评估工具使用并生成支持学习的指导的技术联系起来。该项目由网络学习和未来学习技术项目资助，该项目将新兴技术提供的机会与已知的人类学习方式的进步相结合。计划将定义一种技术支持的学习资源类型，将调查工具与学生主导的项目序列相结合，并使用分析技术指导学生进行更深入的理解。研究人员将探索将这种类型应用于中学物理科学的一个实例，重点是能量含量、科学和工程实践以及交叉主题。通过实施和研究半个学期的项目序列，研究人员将检查调查和分析技术之间的协同作用，从而获得实质性的学习收益。研究人员将与五所中学合作，为不同的学生群体提供服务。通过技术和项目材料的三次迭代改进，该项目将优化并记录该方法的教育价值。

Project Learning with Automated, Networked Supports (PLANS) will contribute to science and engineering education in middle schools. This software technology will support deep learning as students carry out project-based work. Specifically, PLANS will connect tools for brainstorming, planning, modeling, sketching, data gathering, graphing, designing, and testing, with technology that automatically assesses use of the tools and generates guidance that supports learning. This project is funded by the Cyberlearning and Future Learning Technologies program, which integrates opportunities offered by emerging technologies with advances in what is known about how people learn.PLANS will define a genre of technology-enabled learning resources that combine investigation tools within a sequence of student-led projects, and analytics technologies that guide students toward deeper understanding. The researchers will explore an instance of this genre applied to middle school physical science with a focus on energy content, science and engineering practices, and cross cutting themes. By implementing and researching a half-semester sequence of projects, the researchers will examine synergies between investigation and analytic technologies that result in substantial learning gains. The researchers will collaborate with five middle schools serving diverse student populations. Through three iterations of improvements in the technologies and project materials, the project will optimize and document the educational value of this approach.