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、模拟和可视化来研究自然现象--30多年来一直是科学的第三个分支，是对实验和理论的补充。这使科学家能够1)在人类尺度上不可能的时间段内，看到肉眼或实验仪器无法看到的表示，2)安全地模拟在不危及生命或财产的情况下无法实现的现象，3)进行假设场景，从一系列可能的应用、算法和体系结构中实例化这些。学生必须了解计算科学，为解决当今全球科技社会面临的问题做好准备。该项目正在进行采访，委托编写白皮书，并召开全国计算科学和科学教育专家研讨会。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、州和地方的迫切要求，以在教育系统中创造系统的变化，以便在所有级别注入计算科学。科学教育中的智力价值专家正在展示将计算科学方法和内容整合到各级教育中的最佳实践范例，在服务不足的人群中，这些范例被作为国家采用和整合的样板。他们正在制定行动建议，以实现国家范围的影响，并制定一个研究议程，其中没有足够的知识来实现这一愿景。广泛的影响该项目涉及不同的群体，以扩大计算科学的实践社区。正在关注各种文化和社会经济视角，以产生广泛而持久的影响，因为计算科学的视觉和实践特点往往使那些缺乏充分准备的学生能够从事更复杂的STEM课程。这有可能在整个K-20教育系统中实现科学教与学的系统性变革。

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.