Teaching computational thinking to space science students

R. Jeffrey, M. Lundy, Deirdre Coffey, S. McBreen, A. Martin-Carrillo, L. Hanlon
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引用次数: 1

Abstract

Computational thinking is a key skill for space science graduates, who must apply advanced problem-solving skills to model complex systems, analyse big data sets, and develop control software for mission-critical space systems. We describe our work using Design Thinking to understand the challenges that students face in learning these skills. In the MSc Space Science & Technology at University College Dublin, we have used insights from this process to develop new teaching strategies, including improved assessment rubrics, supported by workshops promoting collaborative programming techniques. We argue that postgraduate- level space science courses play a valuable role in developing more advanced computational skills in early-career space scientists.
空间科学专业学生计算思维教学
计算思维是空间科学毕业生的一项关键技能,他们必须运用先进的解决问题的技能来为复杂系统建模,分析大数据集,并为关键任务的空间系统开发控制软件。我们使用设计思维来描述我们的工作,以了解学生在学习这些技能时面临的挑战。在都柏林大学的空间科学与技术硕士课程中,我们利用从这个过程中获得的见解来制定新的教学策略,包括改进评估标准,并辅以促进协作编程技术的研讨会。我们认为,研究生水平的空间科学课程在发展早期职业空间科学家更先进的计算技能方面发挥着宝贵的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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