The development of online instructional design for computational thinking to improve student problem-solving skill

计算思维 计算机科学 数学教育 教学设计 批判性思维 班级(哲学) 多媒体 人工智能 数学
作者
Didik Hariyanto,Andik Asmara,Ariadie Chandra Nugraha,Sigit Yatmono,Moh. Khairudin,Ting‐Ting Wu
出处
期刊:Nucleation and Atmospheric Aerosols 卷期号:2701: 050019-050019 被引量:1
标识
DOI:10.1063/5.0114185
摘要

Problem-solving skills are part of Critical Thinking which focuses on the student's abilities to face the 21st century. Recently, one technique to foster and improve problem-solving skills is by learning through Computational Thinking. Many previous studies have described that Computational Thinking is a problem-solving technique adopted from Computer Sciences. However, Computational Thinking learning had been carried out in class or asynchronous. The COVID-19 situation raises the challenges of how Computational Thinking can be taught online. Therefore, this study aims to develop an instructional design in online-based computational thinking learning. The development of this study employs the ADDIE method. The final step of the development stage was carried out through a small-scale online class experiment. The development result obtained by Scratch, which is an online programming platform that is suitable for 1) learning Computational Thinking, 2) instructional design that refers to problem-based learning, and 3) instructional strategies that refer to Bloom's taxonomy. The results of the small-scale instructional design experiment showed that there was a significant improvement in the students' ability in problem-solving and computational thinking.
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