当前位置: X-MOL 学术Interactive Learning Environments › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The developmental characteristics of computational thinking and its relationship with technical skills: taking the department of engineering as an example
Interactive Learning Environments ( IF 3.7 ) Pub Date : 2021-05-23 , DOI: 10.1080/10494820.2021.1928236
Min Jou, Pei-Chi Chen, Jingying Wang

ABSTRACT

Previous research suggests that there should be a correlation between computational thinking and traditional cognitive and motor skills. At present, academia either considers cognitive skills a part of computational thinking, or investigates the correlation between computational thinking and cognitive skills. Current research on computational thinking focuses on the design of teaching models to improve computational thinking ability and on measures for evaluating computational thinking. The association of computational thinking with motor skills is rarely discussed. From the perspective of embodied cognition theory, an association must exist, but its mechanisms have not been studied. Therefore, this study explores the effect of the teaching model of creative problem solving (CPS) on computational thinking and its internal correlation with technical skills. It was found that CPS can not only improve the computational thinking ability of students majoring in engineering, but also promote their corresponding motor skills. However, the students’ previous academic background had a certain influence on their learning outcomes. Students at universities of technology experienced a greater improvement in their computational thinking and motor skills than students at general universities. There is a certain correlation between computational thinking and motor skills, and the interaction between them should be properly considered in future teaching and curriculum design so as to improve students’ learning effectiveness.



中文翻译:

计算思维发展特征及其与技术技能的关系——以工科系为例

摘要

先前的研究表明,计算思维与传统的认知和运动技能之间应该存在相关性。目前,学术界要么将认知技能视为计算思维的一部分,要么研究计算思维与认知技能之间的相关性。目前计算思维的研究主要集中在提高计算思维能力的教学模式设计和计算思维评价措施上。计算思维与运动技能的关联很少被讨论。从具身认知理论的角度来看,关联必然存在,但其机制尚未被研究。所以,本研究探讨了创造性问题解决(CPS)教学模式对计算思维的影响及其与技术技能的内在关联。结果发现,CPS不仅可以提高工科学生的计算思维能力,还可以促进其相应的运动技能。然而,学生以往的学术背景对他们的学习成果有一定的影响。与普通大学的学生相比,技术大学的学生在计算思维和运动技能方面有更大的进步。计算思维与运动技能之间存在一定的相关性,在今后的教学和课程设计中应适当考虑两者之间的相互作用,以提高学生的学习效果。结果发现,CPS不仅可以提高工科学生的计算思维能力,还可以促进其相应的运动技能。然而,学生以往的学术背景对他们的学习成果有一定的影响。与普通大学的学生相比,技术大学的学生在计算思维和运动技能方面有更大的进步。计算思维与运动技能之间存在一定的相关性,在今后的教学和课程设计中应适当考虑两者之间的相互作用,以提高学生的学习效果。结果发现,CPS不仅可以提高工科学生的计算思维能力,还可以促进其相应的运动技能。然而,学生以往的学术背景对他们的学习成果有一定的影响。与普通大学的学生相比,技术大学的学生在计算思维和运动技能方面有更大的进步。计算思维与运动技能之间存在一定的相关性,在今后的教学和课程设计中应适当考虑两者之间的相互作用,以提高学生的学习效果。学生以往的学术背景对他们的学习成果有一定的影响。与普通大学的学生相比,技术大学的学生在计算思维和运动技能方面有更大的进步。计算思维与运动技能之间存在一定的相关性,在今后的教学和课程设计中应适当考虑两者之间的相互作用,以提高学生的学习效果。学生以往的学术背景对他们的学习成果有一定的影响。与普通大学的学生相比,技术大学的学生在计算思维和运动技能方面有更大的进步。计算思维与运动技能之间存在一定的相关性,在今后的教学和课程设计中应适当考虑两者之间的相互作用,以提高学生的学习效果。

更新日期:2021-05-23
down
wechat
bug