DIP: Collaborative Research: STEM Literacy through Infographics

“网络学习和未来学习技术计划”资助的工作旨在支持展望学习技术的未来，并推进我们对人们如何在技术丰富的环境中学习的了解。开发和实施（DIP）项目建立在概念验证工作的基础上，该工作展示了所提议的新型学习技术的可能性，项目团队构建并完善了他们所提议的创新的最小可行示例，使他们能够理解未来应该如何设计和使用此类技术，并回答有关人们如何使用技术进行学习的问题。教育中的一个重要问题是帮助青年理解现有的科学、技术、社会科学和卫生数据。现有的技术可以创建信息图表来帮助其他人理解数据的含义，该团队的网络学习探索（EXP）项目表明，让高中生参与基于信息图表的数据新闻有可能激发他们对科学和数据分析的兴趣，并提高他们的科学和数学素养。在这个后续项目中，包括教育技术、数学教育和学习方面的专家在内的项目团队正在扩展、改进和评估使用信息图表设计技术的不同方法，以促进STEM的参与和学习。最终的结果将是一套社会实践和技术工具，以支持通过数据新闻学习，加深对如何培养STEM素养的理解，一套专业发展材料和基础设施，帮助教师和课后促进者学习实施数据新闻，为数据提供者制定一套指导方针，说明如何使其科学数据可供教师和青年使用，以及如何构建这些数据以支持青年发展数据和科学素养技能。这项工作有助于数据科学教育的新兴领域——培养学习者分析和理解科学、技术和社会科学数据的能力，并利用它来解决科学、个人和社区的重要问题。在他们的网络学习实验项目中，该项目团队展示了使用基于信息图表的数据新闻作为支持年轻人（高中生）参与STEM并提高他们科学和数学素养的一种方式的可行性和前景。在这个后续项目中，他们正在改进他们的方法，并在各种不同的教育场所（一些是正式的，一些是非正式的）中实施拟议的社会技术系统，包括在一系列场所中，具有各种不同能力和兴趣的学习者，来自各种背景和文化的学习者，具有各种技能的教师和辅导员，允许在各种人群中探索问题。创新是通过信息图设计学习STEM内容的社会技术系统和工具。正在设计工具和实践，以提供一个有意义和支持性的环境，使青年能够将STEM置于自己和他人生活的背景中，在现有的大量科学数据中进行导航，并通过真实的交流来学习他们的理解。研究和开发高度连接,研究侧重于如何安排社会过程和工具,使青年从个人兴趣主题的研究和理解,m ay是遇到的障碍从科学追求个人利益以及如何克服这些障碍,和如何支持青年来识别自己的生活之间的联系和他们周围的世界和世界的科学。这项工作还有助于新兴的数据科学教育领域，并将提取有关如何促进这种学习的见解，为数据提供者提供有关如何为公众设计数据门户的指导方针，并为数据科学工具提出设计指导方针。

The Cyberlearning and Future Learning Technologies Program funds efforts that support envisioning the future of learning technologies and advancing what we know about how people learn in technology-rich environments. Development and Implementation (DIP) Projects build on proof-of-concept work that showed the possibilities of the proposed new type of learning technology, and project teams build and refine a minimally-viable example of their proposed innovation that allows them to understand how such technology should be designed and used in the future and answer questions about how people learn with technology. An important issue in education is helping youth make sense of the scientific, technological, socio-scientific, and health data that is available. Technology exists for creating infographics to help others understand what data has to say, and this team's Cyberlearning Exploration (EXP) Project showed that engaging high schoolers in infographic-based data journalism has potential to pique their interest in science and data analysis and to improve their scientific and mathematical literacy. In this follow-on project, the project team, which includes experts in educational technology, mathematics education, and learning, is extending, refining, and evaluating different ways of using technologies for infographic design to foster STEM engagement and learning. The end result will be a set of social practices and technology tools to support learning through data journalism, increased understanding of how to foster STEM literacy, a set of professional development materials and infrastructure for helping teachers and after-school facilitators learn to implement data journalism, and a set of guidelines for data providers about how to make their scientific data usable by teachers and youth and how to structure it to support youth's developing data and science literacy skills. This work contributes to the emerging field of data science education -- fostering learners' ability to analyze and make sense of scientific, technological, and socio-scientific data and use it to solve problems of scientific, individual, and community importance.In their Cyberlearning EXP project, this project team showed the viability and promise of using infographic-based data journalism as a way to support engagement of young adults (high-school students) in STEM and improve their scientific and mathematical literacy. In this follow-on project, they are refining their approach and implementing the proposed socio-technical system in a variety of different educational venues, some formal and some informal, and including, over the set of venues, learners with a wide variety of different capabilities and interests and from a wide variety of backgrounds and cultures, teachers and facilitators with a wide variety of skills, allowing exploration of issues across a variety of populations. The innovation is the socio-technical system and tools for learning STEM content through infographic design. Tools and practices are being designed to provide a meaningful and supportive context in which youth can contextualize STEM in their own lives and the lives of others, navigate the deluge of scientific data that is available, and learn through authentic communication of their understandings. Research and development are highly connected, and research focuses on how to arrange social processes and tools to enable youth to move from personal interests to topics they can research and make sense of, the barriers that m ay be encountered in moving from personal interests to scientific pursuits and how to overcome those barriers, and how to support youth so that they come to recognize connections between their own lives and the world around them and the world of science. The effort also contributes to the emerging field of data science education and will extract insights about how to foster such learning, provide guidelines to data providers about how to design data portals for the public, and suggest design guidelines for data science tools.