Influence of Programming Robot Learning Mode Based on Conceptual Mapping on College Students' Computational Thinking

Bing-Hong Chen, Ling-Hsiu Chen, Chih-Cheng Chen, Chih-Hung Chen
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Abstract

As the information age has progressed, computational thinking ability to solve problems has become an indispensable way of life in life. Many scholars believe that the process of solving problems will be more logical if they have computational thinking ability. At the same time, scholars believe that a good learning method improves learners' intrinsic motivation. Therefore, in this research, we try to use conceptual mapping so that students can construct knowledge when composing their own images, as the focus of this learning model and computational thinking is the thinking process and the two coincide. This research intends to introduce the traditional programming robot course into conceptual mapping and measure whether there are differences in computational thinking tendencies, problem-solving tendencies, and intrinsic motivations between students who use conceptual mapping and those who do not use it. The students in the experimental group with conceptual mapping activities developed computational thinking skills during the program robotics course. The students in the control group first watched the computational thinking explanation video to explain the computational thinking skills to the students, and then taught in the traditional programming robotics course.
基于概念映射的编程机器人学习模式对大学生计算思维的影响
随着信息时代的不断进步,计算思维解决问题的能力已经成为生活中不可或缺的一种生活方式。许多学者认为,如果具有计算思维能力,解决问题的过程将更具逻辑性。同时,学者们认为好的学习方法可以提高学习者的内在动机。因此,在本研究中,我们尝试使用概念映射,让学生在构成自己的图像的同时构建知识,因为这种学习模式和计算思维的重点是思维过程,两者不谋而合。本研究旨在将传统的机器人编程课程引入概念映射,并测量使用概念映射的学生与不使用概念映射的学生在计算思维倾向、问题解决倾向和内在动机方面是否存在差异。参与概念映射活动的实验组学生在程序机器人课程中发展了计算思维能力。对照组学生先观看计算思维讲解视频,向学生讲解计算思维技能,然后进行传统编程机器人课程的授课。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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