Defining Computational Thinking for Mathematics and Science Classrooms
By David Weintrop, Elham Beheshti, Michael S. Horn, Kai Orton, Kemi Jona, Laura Trouille, Uri Wilensky. 2016
1,401 citations recorded by the source corpus.
Subfields: Architecture, Computer Science Applications, Media Technology
View Paper: https://www.semanticscholar.org/paper/5703617b9d9d40e90b6c8ffa21a52734d9822d60
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Aman Yadav
- Marcos Román-González
- Carmen Jiménez-Fernández
- Jodi Asbell-Clarke
- J. Pérez‐González
- Hai Hong
- Chris Stephenson
- Chen Sun
In Media Technology
Citations in the corpus
- Computational thinking for teacher education (2017, background): “Pre-service teachers in a science-methods course could be exposed to computational thinking through computational models for demonstrating scientific ideas and phenomena to their future students.(27) The computational models could also be used to test hypotheses, as well as solutions to problems.”
- Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test (2017, background): “…bias of the CTt, as computational thinking can also be projected over problems with different features, such as: modeling scientific simulations (Weintrop et al., 2016); algorithmic composition of computational music (Edwards, 2011); or digital interactive storytelling (Burke, 2012; Howland &…”
- Demystifying computational thinking (2017, background): “A fourth recent model aims to merge CT and regular classroom instruction (Weintrop et al., 2016).”