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arXiv 1402.2836physics.ed-phastro-ph.HEhep-ex
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利用VISPA网络平台进行本科物理数据分析练习的实地研究

A field study of data analysis exercises in a bachelor physics course using the internet platform VISPA

Martin Erdmann, Robert Fischer, Christian Glaser, Dennis Klingebiel, Raphael Krause, Daniel Kuempel, Gero Mueller, Marcel Rieger, Jan Steggemann, Martin Urban, … 展开作者

Martin Erdmann, Robert Fischer, Christian Glaser, Dennis Klingebiel, Raphael Krause, Daniel Kuempel, Gero Mueller, Marcel Rieger, Jan Steggemann, Martin Urban, David Walz, Klaus Weidenhaupt, Tobias Winchen, Birgitta Weltermann

摘要:

最近,亚琛工业大学的粒子物理学和天体物理学学士课程得到了与数据分析和数据解释有关的练习的补充。学生们使用互联网平台VISPA进行了这些练习,该平台为物理数据分析提供了开发环境。我们描述了该平台及其在物理课程中的应用,并提出了学生调查的结果。学生对学习项目的接受程度是积极的。接受程度与他们对使用计算机学习的个人偏好有关。此外,具有良好编程技能的学生喜欢单独工作,而认为自己编程能力低的学生喜欢团队工作。学生们喜欢通过数据分析任务接近实际研究。

英文摘要:

Bachelor physics lectures on particle physics and astrophysics were complemented by exercises related to data analysis and data interpretation at the RWTH Aachen University recently. The students performed these exercises using the internet platform VISPA, which provides a development environment for physics data analyses. We describe the platform and its application within the physics course, and present the results of a student survey. The students acceptance of the learning project was positive. The level of acceptance was related to their individual preference for learning with a computer. Furthermore, students with good programming skills favor working individually, while students who attribute themselves having low programming abilities favor working in teams. The students appreciated approaching actual research through the data analysis tasks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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