Benefits of Computational Thinking in Entrepreneurship

被引：2

作者：

Nuar, Ahmad Najmi Amerhaider ^{[1
]}

Ahd Ronan, Mohd Zaidi ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Dept Informat Syst, Skudai 81300, Johor Bahru, Malaysia

来源：

2019 6TH INTERNATIONAL CONFERENCE ON RESEARCH AND INNOVATION IN INFORMATION SYSTEMS: EMPOWERING DIGITAL INNOVATION (ICRIIS 2019) | 2019年

关键词：

computational thinking; industry; 4.0; automation; entrepreneurship; small and medium enterprise; INDUSTRY; 4.0; OPPORTUNITIES; K-12;

D O I：

10.1109/icriis48246.2019.9073671

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Computational thinking is an essential skill that allows humans to solve a complex problem that later on can be understood by computers and humans. Abstraction and automation are the core of computational thinking. Therefore, CT is the key skill in Industry 4.0. However, in Malaysia's manufacturing, only 50 percent of SMEs deploy automation. Automation can make the company more efficient, more accurate and decrease human error. CT was built based on 4 basic pillars which are abstraction, decomposition, algorithm and pattern recognition. These pillars will encourage automation, efficiency, and innovation. Moreover, one of the benefits of CT for non-programmer is the formulated problem can be passed on to information-processing agents such as third-party companies or freelancers who can create the solution. In this paper, we review the benefits of computational thinking in entrepreneurship in the context of Industry 4.0.

引用

页数：6

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