Design And Practice Of Knowledge Integration Learning Environment(CT-KILE) For Cultivating Computational Thinking

With the advent of the era of artificial intelligence,research on computational thinking has become an important issue in the 21 st century.The education community concerns how to cultivate students’ computational thinking.The cultivation of computational thinking requires not only the design of teaching content and teaching strategies,but also the support of an effective learning environment.Studying the learning environment for the development of computational thinking not only helps to improve the understanding of the nature of computational thinking,but also has implications for how to improve the practical thinking of computational thinking in the digital learning environment.Therefore,this study aims to make full use of the advantages of the network environment,with the knowledge integration framework as the theoretical support,focusing on the design,development and practice of knowledge-integrated learning environment for the development of computational thinking,and to explore the impact of the learning environment on students’ computational thinking.At the same time,through the lag sequence analysis,the behavioral performance patterns and differences of students with high computational thinking(HCT)and low computational thinking(LCT)in the learning environment are analyzed,and the reasons for the differences are analyzed.Firstly,systematically review the research on computational thinking at home and abroad,determine the current status and deficiencies of the existing research,and provide the basis for the research questions and research content of the research.Then,based on the knowledge integration framework,the science is easy to understand and think.The four principles of learning,helping students to learn from others,promoting self-determination and lifelong learning,and implementing a knowledge-integrated learning environment for the development of computational thinking;finally,through the practical teaching of two teaching cases,the effectiveness of the learning environment is developed.The three levels of computational thinking,learning behavior and behavioral patterns explore the performance and differences of students in the learning environment,and obtain more students’ attitudes and ideas on the learning environment from the aspects of students’ satisfaction with the learning environment and student interviews.Preliminary research shows that the knowledge-integrated learning environment for computational thinking training effectively improves students’ computational thinking.High Computational Thinking(HCT)and Low Computational Thinking(LCT)students have similarities in the learning behavior of the “My Works” and “Others Works” modules,while the “example learning” and “creative relay” modules coexist in similar and differential behaviors.Compared to high computational thinking(HCT)students,low computational thinking(LCT)students tend to use a variety of methods to compensate for their weaknesses in mastering computational concepts.In addition,low computational thinking(LCT)students demonstrate more learning behavior than high computational thinking(HCT)students,indicating that students’ learning behavior is influenced by the level of computational thinking,providing more learning support to students through a digital learning environment.Can help students calculate the improvement of their thinking level.