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https://repository.isls.org//handle/1/667
Title: | Student Learning of Computational Thinking in A Robotics Curriculum: Transferrable Skills and Relevant Factors |
Authors: | Chen, Guanhua Shen, Ji |
Issue Date: | Jul-2018 |
Publisher: | International Society of the Learning Sciences, Inc. [ISLS]. |
Citation: | Chen, G. & Shen, J. (2018). Student Learning of Computational Thinking in A Robotics Curriculum: Transferrable Skills and Relevant Factors. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences. |
Abstract: | This poster presents findings from the implementation of a robotics curriculum emphasizing applying computational thinking (CT) to solve both programming and everyday reasoning problems. Utilizing an online CT instrument as the pre-and-post measure, students’ performance, improvement, and process data were analyzed. Results show that the curriculum helped students improve CT in both scenarios. While student self-determination was positively correlated to their score gains, other factors (gender, class, familiarity with problem settings) were not. |
URI: | https://doi.dx.org/10.22318/cscl2018.1439 https://repository.isls.org//handle/1/667 |
Appears in Collections: | ICLS 2018 |
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