Teaching computational thinking to space science students
Robert M. Jeffrey, Megan Lundy, Deirdre Coffey, Sheila McBreen,, Antonio Martin-Carrillo, Lorraine Hanlon

TL;DR
This paper discusses using Design Thinking to identify challenges in teaching computational skills to space science students and introduces new teaching strategies to enhance learning outcomes.
Contribution
It presents a novel approach combining Design Thinking with curriculum development to improve computational thinking education for space science students.
Findings
Improved assessment rubrics for computational skills
Workshops promoting collaborative programming techniques
Enhanced student engagement in space science courses
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.
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Taxonomy
TopicsSystems Engineering Methodologies and Applications · Space Science and Extraterrestrial Life · Spacecraft Design and Technology
