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Computational thinking is a key component for being successful with computer science and coding, but it is also a valuable set of skills to support students with problem solving and critical thinking in every subject! Decomposition, abstraction, pattern recognition, and designing an algorithm are the key components of computational thinking and some studies suggest that students who develop these computational thinking skills have better achievement in math and ELA, along with a solid foundation for the future study of computer science.
Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st century problem solving in K-12 classrooms. TechTrends, 60(6), 565-568.
Lei, H., Chiu, M. M., Li, F., Wang, X., & Geng, Y. J. (2020). Computational thinking and academic achievement: A meta-analysis among students. Children and Youth Services Review, 118, 105439.
Sarah leads computer science and STEM initiatives, manages partnerships with state and national organizations, and elevates the LTC’s role as a thought leader in the K-12 computer science space.