PERC 2020 Abstract Detail Page
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| Abstract Title: | Computation for Science: Engaging university science students in computational thinking |
|---|---|
| Abstract: | Given the rising importance of computation in science, it is imperative that science undergraduates develop relevant computational skills. We discuss the design of a first year Computational Science course at an R1 institution in Ireland. This course is aimed as a first step on the path to developing students' computational skills within the context of science, and requires an understanding of the computational needs from across the scientific disciplines. We present preliminary results of survey data collected from academics and researchers in the college of science, with the aim of understanding who engages in computational practices, what the nature of those practices is, and how they vary across the disciplines. The taxonomy of computational thinking of Weintrop et al. (2015) is used to contextualize those skills for each of the scientific disciplines. The results will inform the course design and the articulation of graduate attributes in relation to computational skills. |
| Abstract Type: | Contributed Poster Presentation |
| Session Time: | Poster Session II |
| Poster Number: | 2.I5 |
Author/Organizer Information | |
| Primary Contact: |
Claire Mullen University College Dublin School of Mathematics and Statistics Dublin, Non U.S. |
| Co-Author(s) and Co-Presenter(s) |
Claudia Fracchiolla, University College Dublin School of Mathematics and Statistics Ted Cox, University College Dublin School of Mathematics and Statistics Neil Hurley, University College Dublin School of Computer Science Jack O'Connor, University College Dublin School of Mathematics and Statistics Maria Meehan, University College Dublin School of Mathematics and Statistics |
