The Impact and Reconstruction of Computational Thinking on Educational Models in the Era of Artificial Intelligence

Abstract

This paper explores the impact and reconstruction of computational thinking on educational models in the era of artificial intelligence. With the rapid advancement of artificial intelligence technologies, the importance of computational thinking in the field of education is becoming increasingly prominent. The paper first introduces the concept of computational thinking and its significance in the era of artificial intelligence, then discusses the evolution of traditional educational models in the context of artificial intelligence and the need for adaptation. It further analyzes the influence of computational thinking on education, including integrating computational thinking into the curriculum, developing problem-solving skills, and fostering creativity and innovation. Lastly, strategies for restructuring educational models are proposed, such as promoting technology-driven learning, encouraging collaborative and project-based learning, and enhancing teacher training and professional development. The paper also discusses challenges and considerations, such as addressing equity and access issues and ensuring ethical use of artificial intelligence in education. Finally, future prospects and recommendations are provided, emphasizing leveraging computational thinking for enhanced educational outcomes and advocating for a holistic approach to educational transformation.