Computational Thinking in Education: A Pedagogical Perspective

The Computational Thinking Toolbox provides models and assessment practices for computational tools and practices, addressing challenges in implementation and unsubstantiated claims for effectiveness, with a diversity of perspectives.

Format: Hardback
Length: 216 pages
Publication date: 23 November 2021
Publisher: Taylor & Francis Ltd

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Computational thinking (CT) is a multidisciplinary approach to problem-solving that involves using computers to model, analyze, and solve complex problems. It encompasses a range of skills and practices, including modeling, simulation, programming, and data analysis. CT is widely used in various fields, such as science, engineering, business, and education, to improve problem-solving abilities and decision-making processes.

One of the key aspects of CT is its ability to provide models of curricular integration and assessment practices to inform the design of and research on computational tools and practices. CT can help educators develop curricula that incorporate computational thinking skills and promote student engagement and learning. Additionally, CT can provide valuable insights into the effectiveness of computational tools and practices, helping educators identify areas for improvement and refine their teaching strategies.

Another critical area of CT is its ability to address challenges in implementation and unsubstantiated claims for effectiveness. CT is a complex and multifaceted concept that requires a deep understanding of both computational thinking and the specific context in which it is being applied. As such, it is important to ensure that CT is implemented effectively and that its benefits are fully realized.

To address these challenges, CT covers a diversity of perspectives, including unplugged CT, CT as a vehicle for learning, and CT in and across subjects. Unplugged CT involves using everyday objects and materials to engage students in computational thinking activities, while CT as a vehicle for learning involves integrating computational thinking skills into traditional subject areas. CT in and across subjects involves using CT across different subject areas to develop interdisciplinary skills and understanding.

In conclusion, computational thinking is a powerful approach to problem-solving that involves using computers to model, analyze, and solve complex problems. It provides models of curricular integration and assessment practices to inform the design of and research on computational tools and practices, addresses critical areas of computational thinking such as challenges in implementation and unsubstantiated claims for effectiveness, and covers a diversity of perspectives including unplugged CT, CT as a vehicle for learning, and CT in and across subjects. By implementing CT effectively and promoting interdisciplinary skills and understanding, educators can help students develop the critical thinking and problem-solving abilities they need to succeed in the 21st century.

Weight: 594g
Dimension: 229 x 152 (mm)
ISBN-13: 9780367564469