Teaching computational thinking to space science students
Visualitza/Obre
10.5821/conference-9788419184405.121
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/370794
Tipus de documentComunicació de congrés
Data publicació2022-04-29
EditorUniversitat Politècnica de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
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.
CitacióJeffrey, R. [et al.]. Teaching computational thinking to space science students. A: "4th Symposium on Space Educational Activities". Universitat Politècnica de Catalunya, 2022,
ISBN9788419184405
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SSEA_2022_295.pdf | 324,7Kb | Visualitza/Obre |