Collaborative Research: INSTANCES: Incorporating Computational Scientific Thinking Advances into Education & Science Courses

计算科学结合了计算机模拟和科学学科的知识来解决复杂的问题。 虽然十年前计算科学还很少见，主要存在于研究项目中，但今天它甚至被推荐用于K-12教育，作为在上下文中教授科学，数学和计算机科学的有效教学法。 然而，科学和数学教师往往没有准备好他们的工作与计算机在K-12教室。 他们可能无法解释他们的学生使用的计算机应用程序中发生了什么。 研究人员正在为计划成为K-12教师的学生开发一门新课程，名为教师计算科学思维和建模。 该课程旨在提供融入科学问题解决范式的实用计算，以及对计算重要性的上下文理解。 这将使教师做好更充分的准备，使学生更好地了解情况，并使人们更广泛地参与计算。 该项目代表了计算物理教育家，科学和数学教育家，教育基金会，计算生物学家和两个社区大学科学教师之间的多机构合作。 课程材料包括在线内容和一系列基于视频的模块。 正在对学生的学习成果进行评估，并在全国科学和数学教师会议上传播评估结果。

Computational Science combines computer simulations and knowledge from a science discipline to solve complex problems. While a decade ago computational science was rare and found mainly in research programs, today it is recommended even for K-12 education as an effective pedagogy for teaching science, math and computer science in context. However, science and math teachers are often not prepared well for their work with computers in K-12 classrooms. They may not be able to explain what is occurring within the computer applications used by their students. The investigators are developing a new course for students who plan to be K-12 teachers, called Computational Scientific Thinking and Modeling for Teachers. The course is designed to provide practical computation integrated into the scientific problem-solving paradigm and a contextual understanding of the important of computation. This will lead to better prepared teachers, to better informed students and to broader participation in computing. The project represents a multi-institution collaboration among a computational physics educator, a science and math educator, an education foundation, a computational biologist and two community college science teachers. Course materials include online content and a collection of video-based modules. Student learning outcomes are being assessed and the results are being disseminated at national meetings for science and math teachers.