Learning and Teaching Computational Thinking – Challenges for Teacher Education

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Authors

Joke Voogt, University of Amsterdam/ Windesheim University of Applied Sciences, Netherlands ; Birgit Eickelmann, Amelie Labusch, Paderborn University, Germany ; Aman Yadav, Michigan State University, United States ; Anne Leftwich, Indiana University, United States ; Allard Strijker, Netherlands Institute for Curriculum Development, Netherlands ; Kathryn Rich, Jon Good, Phil Sands, Michigan State University, United States

Society for Information Technology & Teacher Education International Conference, Mar 26, 2018 in Washington, D.C., United States ISBN 978-1-939797-32-2

Abstract

Computational Thinking is increasingly considered a key competency in the 21st century. Many countries have initiatives that are aimed to give Computational Thinking skills a proper place in the curriculum. However, since Computational Thinking is a relatively new skill set, many different conceptualizations of Computational Thinking skills exist, as well as ways on how Computational Thinking skills can be learnt and taught. In this symposium we present studies about Computational Thinking skills from three countries: Germany, the US and the Netherlands. Together they address research approaches and challenges related to the teaching and learning of Computational Thinking skills and their implications for preparing future teachers to teach Computational Thinking skills.

Citation

Voogt, J., Eickelmann, B., Labusch, A., Yadav, A., Leftwich, A., Strijker, A., Rich, K., Good, J. & Sands, P. (2018). Learning and Teaching Computational Thinking – Challenges for Teacher Education. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 57-60). Washington, D.C., United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/p/182502.