A preliminary study on interdisciplinary programming learning based on cloud computing low-code development platform

Chung-Hsiang Wang, Ko-Chiu Wu
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Abstract

The application of “programming education” has become one of the future technological trends, and students with design backgrounds should also grasp this important development. In this study, the “AgilePoint NX” program course was established, and computational thinking was introduced into the course to guide students, through the image flow and low-code learning process, to carry out structured thinking and question speculation, and complete task exercises. This aims to teach design students to learn programming and computational thinking through a cloud-based low-code development platform with image processes and interdisciplinary learning processes. We conduct a comprehensive analysis and evaluate the learning effect through classroom learning observation, simple questionnaire survey, imagination scale, and other methods. Finally, the study found that in interdisciplinary programming learning, different factors lead to low learning effects of programming courses for design background students, resulting in different degrees of learning pain points and learning experiences. The power of imagination test is a tentative exploration of this research, but for the low-code development platform with fewer measurement data and biased towards procedural thinking, only predictive exploration has no significant data to show the specific impact on the programming learning process, only As a reference for interdisciplinary study.
基于云计算低码开发平台的跨学科编程学习初探
“编程教育”的应用已成为未来的技术趋势之一,具有设计背景的学生也应把握这一重要发展。本研究开设了“AgilePoint NX”程序课程,将计算思维引入课程,引导学生通过图像流和低码学习过程进行结构化思维和问题思测,完成任务练习。该项目旨在通过基于云的低代码开发平台,结合图像处理和跨学科学习过程,教会设计专业的学生学习编程和计算思维。我们通过课堂学习观察、简单问卷调查、想象量表等方法对学生的学习效果进行了全面的分析和评价。最后,研究发现,在跨学科编程学习中,不同的因素导致设计背景学生的编程课程学习效果较低,从而产生不同程度的学习痛点和学习体验。想象力测试是本研究的尝试性探索,但对于测量数据较少且偏向程序性思维的低码开发平台而言,只有预测性探索并没有显著的数据来显示其对编程学习过程的具体影响,只能作为跨学科研究的参考。
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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