Computational thinking is a way to ‘understand and change the world’. It is about more than just computing. It crosses curriculum boundaries giving a powerful way to understand (and change) our digital, physical and social worlds. It gives pupils a new tool in their toolkit for thinking about the world and solving problems.
Computational thinking, applied through modelling and simulation, is already fundamentally changing research in the biological, social and physical sciences. For example, models of neurons help us understand the way the brain works; evolutionary models help to explain biological phenomena; agent-based models shed light on social systems; computational models give scientists a way to understand the climate. Exploring such applications gives a fertile context in which to encourage computational thinking and so motivate interest in Computing. It also gives a powerful new way to learn topics in other subjects, promoting interdisciplinary understanding.
In this section we look at links between Computing and a variety of other subjects, and how computational thinking techniques and topics apply across the curriculum. In each section we give links to activities / activity sheets and to cs4fn portals with a wide range of articles covering the links and cs4fn booklets as well as to other external resources.
Follow the links to find more resources on a range of interdisciplinary topics. More topics and resources to follow.
- English and Computer Science
- Maths and Computer Science
- Biology and Computer Science
- Physics and Computer Science
- History and Computer Science
- Philosophy and Computer Science
- Language and Computer Science
- Music and Computer Science
- (Interaction) Design and Technology
- Art and Computer Science
- Dance, PE and Computer Science
- Craft and Computer Science
- PSHE and Computing
- Religious Studies and Computer Science
- Magic and Computer Science
These interdisciplinary computing pages were initially developed as part of the project ‘Supporting the Teaching of Interdisciplinary and Creative Computational Thinking’ which is a collaboration between Queen Mary, University of London and Hertford College, Oxford. It was funded by the Department of Education with match funding from Google, the Department of Philosophy of the University of Oxford, the EPSRC funded CHI+MED project (EP/G059063/1) and private donations. It builds on and extends resources originally developed with support from EPSRC (EP/F032641/1) and Google.
They have since been extended to on a project with the Institute of Coding.
Google have been especially helpful in their support of our work over many years.