Computational Thinking in Humanities
Although Computational thinking begun as a problem solving technique used specifically within computer science, educators across the world are quickly realising its potential in a whole range of diverse subjects. Within this blog post I thought I would share some practical applications of the use of computational thinking within humanities subjects such as History, Geography and Philosophy & Religious Education … subjects you may not instantly associate with logical thinking!
Decomposition, the skill of breaking down a problem into smaller parts, is an important skill to learn within all humanities subjects. Often you are given a lot of information to analyse, understand in interpret. Students can use the skill of decomposition in order to feel less daunted about tackling a large or complex task.
Pattern Recognition is another important skill within humanities subjects. In geography, you can analyse fault lines in order to identify tectonic plate boundaries, within history, you may ask your students to identify patterns of common events that lead to major historic events. While within PRE, key comparisons may be made between World religions.
Abstraction, the filtering out of unnecessary detail and focusing on the important elements, is a frequently required skill within all humanities subjects. Creating timelines, drawing maps and being able to filter out key information are all common tasks which require the use of Abstraction.
Finally, Algorithm Design, the creation of a series of instructions to solve a problem, is another important skill in order to foster resilient humanities students. From writing a series of instructions to follow on a map, to the creation of how to guides for prayer, the skill of creating clear and logical instructions is an important skill within all humanities subjects.
Want to know more about how you can integrate the use of computational thinking within your humanities lessons? Check out my poster below!
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