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Computational Thinking for Innovative Solutions and Problem-Solving Techniques

Bhupinder Singh, Christian Kaunert

2024Advances in systems analysis, software engineering, and high performance computing book series46 citationsDOI

Abstract

Computational thinking has become essential for navigating the complexities of surroundings. The way that technology is used in education must be completely redesigned because it is a part of everything in modern life. The emphasis on creativity, problem-solving, and collaborative transdisciplinary efforts that characterize computational thinking has made it an essential skill set for people and organizations looking to thrive in the digital era. Computational thinking, which includes pattern identification, deconstruction, abstraction, and algorithms, is a flexible skill set that stems from computer science and may be used in various academic settings. It develops creative problem-solving capabilities and strengthens analytical ability. The potential advantages of computational thinking for higher education are discussed in this chapter. This chapter comprehensively explores how it might foster creativity and problem-solving abilities, transforming traditional teaching methods into innovative, transdisciplinary educational models.

Topics & Concepts

Computer scienceManagement scienceCognitive sciencePsychologyEngineeringTeaching and Learning ProgrammingEvolutionary Algorithms and Applications
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