Studying Synergistic Learning of Physics and Computational Thinking in a Learning by Modeling Environment

被引:0
作者
Hutchins, Nicole [1 ]
Biswas, Gautam [1 ]
Conlin, Luke [2 ]
Emara, Mona [3 ]
Grover, Shuchi [4 ]
Basu, Satabdi [5 ]
McElhaney, Kevin [5 ]
机构
[1] Vanderbilt Univ, 221 Kirkland Hall, Nashville, TN 37235 USA
[2] Salem State Univ, Salem, MA USA
[3] Damanhour Univ, Damanhur, Egypt
[4] Stanford Univ, Stanford, CA 94305 USA
[5] SRI Int, 333 Ravenswood Ave, Menlo Pk, CA 94025 USA
来源
26TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2018) | 2018年
基金
美国国家科学基金会;
关键词
Learning-by-modeling; synergistic learning; DSML; collaborative learning; SCIENCE; METACOGNITION;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Synergistic learning of computational thinking (CT) and STEM has proven to effective in helping students develop better understanding of STEM topics, while simultaneously acquiring CT concepts and practices. With the ubiquity of computational devices and tools, advances in technology, and the globalization of product development, it is important for our students to not only develop multi-disciplinary skills acquired through such synergistic learning opportunities, but to also acquire key collaborative learning and problem- solving skills. In this paper, we describe the design and implementation of a collaborative learning-by-modeling environment developed for high school physics classrooms. We develop systematic rubrics and discuss the results of key evaluation schemes to analyze collaborative synergistic learning of physics and CT concepts and practices.
引用
收藏
页码:153 / 162
页数:10
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