Teaching computational thinking to space science students
| Autor: | Robert Jeffrey, Megan Lundy, Deirdre Coffey, Sheila McBreen, Antonio Martin-Carrillo, Lorraine Hanlon |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Problem solving
Physics - Physics Education FOS: Physical sciences Space -- Study and teaching Solució de problemes Aeronàutica i espai::Astronàutica::Enginyeria aeroespacial [Àrees temàtiques de la UPC] Space education Postgraduate Education Espai -- Ensenyament Vocational education Physics Education (physics.ed-ph) ComputingMilieux_COMPUTERSANDEDUCATION Formació professional Computational thinking |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| DOI: | 10.5821/conference-9788419184405.121 |
| Popis: | 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. 6 pages, 3 figures, presented at 4th Symposium on Space Educational Activities, Barcelona, 27-29 April 2022 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|