Developing Computational Thinking through a Virtual Robotics Programming Curriculum

被引:83
作者
Witherspoon, Eben B. [1 ]
Higashi, Ross M. [1 ]
Schunn, Christian D. [1 ]
Baehr, Emily C. [1 ]
Shoop, Robin [2 ]
机构
[1] Univ Pittsburgh, Learning Res & Dev Ctr, 3939 OHara St, Pittsburgh, PA 15260 USA
[2] Carnegie Mellon Univ, Natl Robot Engn Ctr, Inst Robot, 10 40th St, Pittsburgh, PA 15201 USA
来源
ACM TRANSACTIONS ON COMPUTING EDUCATION | 2017年 / 18卷 / 01期
基金
美国国家科学基金会;
关键词
Computational thinking; robotics; programming; K-12; curriculum design; STUDENTS; MODEL;
D O I
10.1145/3104982
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Computational thinking describes key principles from computer science that are broadly generalizable. Robotics programs can be engaging learning environments for acquiring core computational thinking competencies. However, few empirical studies evaluate the effectiveness of a robotics programming curriculum for developing computational thinking knowledge and skills. This study measures pre/post gains with new computational thinking assessments given to middle school students who participated in a virtual robotics programming curriculum. Overall, participation in the virtual robotics curriculum was related to significant gains in pre- to posttest scores, with larger gains for students who made further progress through the curriculum. The success of this intervention suggests that participation in a scaffolded programming curriculum, within the context of virtual robotics, supports the development of generalizable computational thinking knowledge and skills that are associated with increased problem-solving performance on nonrobotics computing tasks. Furthermore, the particular units that students engage in may determine their level of growth in these competencies.
引用
收藏
页数:20
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