Foundations of Computational Thinking and Problem Solving for Diverse Academic Fields

Author:

Çela Eriona1ORCID,Vajjhala Narasimha Rao1ORCID,Eappen Philip2ORCID

Affiliation:

1. University of New York, Tirana, Albania

2. Cape Breton University, Canada

Abstract

This chapter examines the foundational principles of computational thinking (CT) and their application across diverse academic disciplines, particularly in non-STEM fields such as humanities and social sciences. This chapter adopts a systematic approach and addresses the central research question: “How do CT skills enhance problem-solving methodologies in non-STEM fields, and what are the challenges of integrating these skills into various curricula?” The core components of CT—decomposition, pattern recognition, abstraction, and algorithmic thinking—are examined in this chapter. The chapter also identifies significant barriers to CT integration, including faculty resistance, curriculum rigidity, and resource limitations. This chapter presents a comprehensive literature review and qualitative analysis, with the findings providing insights into the benefits of CT. This chapter also offers practical recommendations for future research and practice.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Risks of AI-Assisted Learning on Student Critical Thinking;International Journal of Risk and Contingency Management;2024-08-05

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