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|Title:||Student Learning of Computational Thinking in A Robotics Curriculum: Transferrable Skills and Relevant Factors|
|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.|
|Appears in Collections:||ICLS 2018|
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