CyberTraining: DSE. The Code Maker: Computational Thinking for Engineers with Interactive, Contextual Learning

代码生成器是一个新的愿景，旨在培养能够将计算思维应用于许多工作的工程师。这是一个利用以学习者为中心的设计，将计算技能嵌入到课程中的程序，了解了人们如何学习的最新研究。该项目将开发课程和材料，以便在具体情况下互动学习计算。其理念是从“学习到编码”转向“编码来学习”，这样计算就成为新工程师解决问题、调查自然、设计和构建项目的自然工具。代码制定者通过培训成为网络基础设施有效用户的工程师来服务于国家利益。它服务于NSF的使命-通过提供所需的智力基础设施，促进科学进步；促进国家健康、繁荣和福利；保障国防安全。该项目是开放源码和开放访问的。在当地，它通过创作者启发的活动建立社区，并通过新的乔治·华盛顿(George Washington)STEM Works实验室的学习助手提供学生支持。向外看，该项目将使用一个在线平台广泛分享培训，并将培训一组密切的合作者，他们将项目带到各自的机构。NSF的资金还将支持对该计划的彻底评估、持续改进和结果的传播。Code Maker项目将提供八个或更多的学习模块，每个模块由四个或更多的课程组成，每个模块由四个或更多课程组成，以Jupyter笔记本的形式编写。这些模块将在网上提供，可以异步完成，也可以作为评分课程的组成部分分配。他们将把这种学习嵌入到工程课程的现有课程中：力学、统计学、热质传递等。短期内，该计划将在乔治华盛顿大学培训50至100名学生，影响合作机构的类似数字，并可能通过在线传播达到数百人。这些单元采用掌握学习的方法。该计划将得到学习助手和一个由制造商启发的活动计划的支持，该计划将在GW图书馆的一个新设立的空间--STEM Works Lab--进行。它将使用公共和私有的云基础设施：Amazon AWS上Open edX学习平台的一个实例，它有效地允许以MOOC的形式公开运行该项目；以及一个本地JupyterHub服务器，以消除安装摩擦，并确保为本地学生提供一致的计算环境。评估将采用4级培训评估和技术验收模式相结合的方式。

The Code Maker is a new vision for educating engineers who can apply computational thinking to many endeavors. It is a program that embeds computational skills in the curriculum using learner-centered design, informed by the latest research in how people learn. The project will develop the curriculum and materials for interactive learning of computing, in context. The philosophy is to move from "learning to code" toward "coding to learn," so that computing becomes a natural tool for the new engineer to solve problems, investigate nature, design and build projects. The Code Maker serves the national interest by training engineers that are effective users of cyberinfrastructure. It serves NSF's mission - to promote the progress of science; to advance the national health, prosperity and welfare; to secure the national defense - by delivering needed intellectual infrastructure. The project is open source and open access. Locally, it builds community via maker-inspired activities and student support via learning assistants at the new George Washington (GW) STEM Works Lab. Outward-looking, the project will use an online platform to share the training widely, and will coach a close group of collaborators who bring the program to their respective institutions. The NSF funding will also support a thorough assessment of the program, continuous improvement, and dissemination of the results. The Code Maker will train computationally skilled engineers who are prepared to enter the workforce competitively, and ready to use computing effectively as a research tool if joining a graduate program in computational science and engineering.The Code Maker project will deliver eight or more learning modules, each consisting of a series of four or more lessons, written as a Jupyter Notebook. The modules will be available online and can be completed asynchronously or assigned as a graded course component. They will embed the learning in the existing courses of the engineering curriculum: mechanics, statistics, heat and mass transfer, and so on. Short term, the program will train 50 to 100 students at GW, impact similar numbers at partner institutions, and potentially reach hundreds via the online dissemination. The modules adopt a mastery-learning approach. The program will be supported by learning assistants and a program of maker-inspired events at a newly created space in the GW Library, the STEM Works Lab. It will use cloud infrastructure, both public and private: an instance of the Open edX learning platform on Amazon AWS that effectively allows running the program publicly as a MOOC; and a local JupyterHub server to eliminate installation friction and ensure a consistent compute environment for local students. The evaluation will apply a combination of 4-level training evaluation and a Technology Acceptance model.