NetStat: EAGER: A Representation and Communication Infrastructure for Classroom Collaboration in Data Modeling and Statistics

该项目旨在加强课堂上的协作和参与式学习，这是贯穿研究和实践的一个重要而持久的主题。该项目将使用基于设计的研究来建立和研究NetStat，这是一个课堂网络系统，用于支持数据建模和统计方面的协作活动。这个项目在单用户软件的基础上创建协作系统的方法有可能影响大量的教师和他们的教室。作为一个课堂网络，NetStat将集成两种核心组件：1)表示基础设施，包括生成、聚合、可视化和分析数据的工具；2)沟通基础设施，使教师能够协调活动，将这些代表性工具分发给参与者（学生个人或团体），以履行合作活动中的角色。该项目将集成的软件组件具有非常广泛的接受度，促进各自用户社区采用NetStat。通过在强大的、免费的、开源的教室平台上构建Netstat，通过该产品开发的教室网络工具可以在世界各地的教室中方便地访问和灵活地实施。此外，通过该项目开发的以小组为中心的技术，以及它们旨在支持的新颖而真实的数学实践参与形式，为那些在传统数学课堂上可能没有成功经验的学生提供了丰富的学习经验的潜力。该项目由网络学习和未来学习技术项目支持，该项目资助的工作将有助于设想下一代学习技术，并进一步了解人们在技术丰富的环境中如何学习。网络学习探索（EXP）项目通过设计和构建新型学习技术并研究其促进学习的可能性和有效使用它们的挑战来探索新型学习技术的可行性。考虑到软件体系结构的趋势以及向开源、基于web的软件的发展，协作、以团队为中心的软件有机会从为个人使用而创建的基于研究的软件中积累的智慧中获得巨大的杠杆作用。通过使用广泛的模型-视图-控制器（MVC）设计模式，该项目将能够使用这些强大的个人用户工具的组件来构建NetStat的多用户协作表示基础结构。如果成功的话，这种方法将产生巨大的好处，不仅可以扩展到NetStat，还可以帮助建立课堂网络系统的类型，使将来在许多学科领域创建这样的系统变得非常容易。该项目将在统计和数据建模领域测试这一假设，使用CODAP、GeoGebra和NetLogo作为NetStat？基于课堂网络文献中出现的课堂协作模式和活动结构，构建交流基础设施。NetStat的课堂学习将探索统计学中协作活动的广阔领域（部分-整体关系是基础的领域），涉及聚合、抽样、描述和推理的概念。该项目建立在最近关注课堂网络的研究和开发项目的丰富传统和过去25年来关于数学学习环境设计的大量文献的基础上，如果成功，将增强课堂级协作的类型，并为集成和扩展现有软件环境的下一代数学课堂技术的潜力和关键特征提供重要的新见解。

This project aims to enhance collaborative and participatory learning in classrooms, an important and enduring theme across both research and practice. The project will use design-based research to build and study NetStat, a classroom network system for supporting collaborative activities in data modeling and statistics. This project's approach to creating collaborative systems on the basis of single-user software has the potential to impact large numbers of teachers and their classrooms. As a classroom network, NetStat will integrate two core types of components: 1) a representation infrastructure, consisting of tools to generate, aggregate, visualize, and analyze data; and 2) a communication infrastructure that enables teachers to orchestrate activities that distribute these representational tools to participants (individual students or groups) to fulfill roles in collaborative activities. The software components the project will integrate have extremely wide acceptance, facilitating adoption of NetStat by their respective user communities. By constructing Netstat from powerful, freely-available, and open-source platforms, classrooms, the classroom networking tools developed through the product can be readily accessed and flexibly implemented in classrooms worldwide. Moreover, the group-centered technologies developed through this project and the novel and authentic forms of participation in mathematics practices they are aimed at supporting offer the potential to provide rich learning experiences for students who may not have experienced success in more traditional mathematics classrooms. The project is supported by the Cyberlearning and Future Learning Technologies Program, which funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively.Given trends in software architecture and the move toward open-source, web-based software, there is an opportunity for collaborative, group-centered software to gain enormous leverage from the accumulated wisdom encoded in research-based software created for individual use. By using the widespread Model-View-Controller (MVC) design pattern, the project will be able to use components of these powerful individual-user tools to construct the multi-user, collaborative representation infrastructure of NetStat. If successful, this approach will yield enormous benefits that extend beyond NetStat and help to establish the genre of classroom network systems, making it dramatically easier in the future to create such systems across many subject areas. The project will test this hypothesis in the area of statistics and data modeling, using CODAP, GeoGebra, and NetLogo as tools for NetStat?s representation infrastructure, and constructing the communication infrastructure on the basis of classroom collaboration patterns and activity structures that have emerged in the classroom network literature. Classroom studies with NetStat will explore the broad terrain of collaborative activities in statistics (a domain where part-whole relations are fundamental), engaging with concepts of aggregation, sampling, description, and inference. Building on a rich tradition of recent research and development projects focused on classroom networks and on an extensive literature on the design of mathematics learning environments developed over the last 25 years, the project, if successful, will enhance the genre of classroom-level collaboration, and contribute important new insights into the potential and the critical features of next-generation mathematics classroom technology that integrates and extends existing software environments.