Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science

Satabdi Basu, Gautam Biswas, John S. Kinnebrew

AAAI 2016 pp. 3705-3711

doi:10.1609/AAAI.V30I1.9888 /aaai/2016/basu2016aaai-using/

Abstract

Computational Thinking (CT) is considered a core competency in problem formulation and problem solving. We have developed the Computational Thinking using Simulation and Modeling (CTSiM) learning environment to help middle school students learn science and CT concepts simultaneously. In this paper, we present an approach that leverages multiple linked representations to help students learn by constructing and analyzing computational models of science topics. Results from a recent study show that students successfully use the linked representations to become better modelers and learners.

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Text

Basu et al. "Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9888

Markdown

[Basu et al. "Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/basu2016aaai-using/) doi:10.1609/AAAI.V30I1.9888

BibTeX

@inproceedings{basu2016aaai-using,
  title     = {{Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science}},
  author    = {Basu, Satabdi and Biswas, Gautam and Kinnebrew, John S.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {3705-3711},
  doi       = {10.1609/AAAI.V30I1.9888},
  url       = {https://mlanthology.org/aaai/2016/basu2016aaai-using/}
}