Computational Science in Science Education: Workshop on Role of CSE Methods in Advancing Science Education at All Educational Institutions

计算机科学（31）计算科学-使用建模，仿真和可视化来研究自然现象-30多年来一直是科学的第三条腿，补充了实验和理论。这使科学家能够1）在人类无法实现的时间段内看到肉眼或实验设备无法看到的表示，2）安全地模拟无法在不危及生命或财产的情况下实现的现象，以及3）进行假设场景，以从可能的应用程序，算法和架构中实例化这些。学生们必须了解计算科学，为解决当今全球化、技术导向的社会所面临的问题做好准备。该项目正在进行访谈，委托白色论文，并召开计算科学和科学教育专家的全国研讨会。这些活动正在确定阻碍在所有教育机构中更广泛地采用计算科学教育的挑战。该项目正在为推进所有教育机构的科学教育提出建议，包括联邦、州和地方政府在教育系统中进行系统变革，在各级教育中注入计算科学的必要性。作为国家采纳和整合的模式。他们正在制定行动建议，以实现国家规模的影响，并在知识不足的情况下制定研究议程，以实现愿景。更广泛的影响这个项目涉及不同的团体，以扩大计算科学实践社区。人们正在关注不同的文化和社会经济观点，以产生广泛的持续影响，因为计算科学的视觉和实践特征往往使缺乏充分准备的学生能够进行更复杂的STEM课程。这有可能在整个K-20教育系统中实现科学教学和学习的系统性变革。

Computer Science (31)Computational science-using modeling, simulation, and visualization to investigate natural phenomena-has been the third leg of science for more than 30 years, complementing experiment and theory. This allows scientists 1) to see representations that can't be seen with the naked eye or with experimental apparatus, over time periods not possible on a human scale, 2) to safely simulate phenomena that cannot be achieved without endangering life or property, and 3) to conduct what-if scenarios to instantiate these from among the range of possible applications, algorithms, and architectures. Students must understand computational science to prepare to solve the problems facing today's global, technologically oriented society.This project is conducting interviews, commissioning white papers, and convening a national workshop of experts in computational science and science education. These activities are identifying the challenges that preclude broader adoption of computational science education in all educational institutions. The project is producing recommendations for advancing science education at all educational institutions, including federal, state, and local imperatives to create systemic change in the education system to infuse computational science at all levels.Intellectual MeritExperts in science education are presenting exemplars of best practices of integrating computational science methods and content into education at all levels, among under-served populations, that are presented as models for national adoption and integration. They are developing recommendations for action to achieve national-scale impact and a research agenda where there is insufficient knowledge to achieve the vision.Broader ImpactThis project involves diverse groups to broaden the computational science community of practice. Attention is being given to diverse cultural and socio-economic perspectives for effecting broad sustained impact, since often the visual and hands-on characteristics of computational science empower students who lack adequate preparation to undertake more complex STEM coursework. This has the potential to achieve systemic change in science teaching and learning throughout the K-20 educational system.