Abstract With the rapid development of information technology and big data, the methods of talent cultivation are also gradually changing. To improve the quality and efficiency of talent cultivation, we propose an immersive talent cultivation experimental platform based on data mining algorithms. The platform first collects various data on students, including learning behaviour, grades, personality traits, etc. Then, we used data... With the rapid development of information technology and big data, the methods of talent cultivation are also gradually changing. To improve the quality and efficiency of talent cultivation, we propose an immersive talent cultivation experimental platform based on data mining algorithms. The platform first collects various data on students, including learning behaviour, grades, personality traits, etc. Then, we used data mining algorithms to conduct indepth analysis and mining these data. Specifically, we used clustering algorithms to classify students’ learning behaviors, association rule mining algorithms to discover the relationship between students’ grades and personality traits, and decision tree algorithms to predict students’ academic performance. By applying these algorithms, we can better understand students’ learning status and needs and provide them with more personalized and accurate teaching services. At the same time, the platform also has immersive educational features, providing students with a more realistic and vivid learning experience through technologies such as virtual reality (VR) and augmented reality (AR). Students can conduct various experimental operations through the platform, deepening their understanding of knowledge points and enhancing their practical ability and innovative thinking. Read More Read Less

Abstract With the rapid development of 5G communication technology, distance education is becoming a trend, and physical education teaching is no exception. This study aims to explore the research on intelligent algorithms for remote classroom physical education teaching based on computer 5G communication technology. A solution based on intelligent algorithms is proposed by analyzing the existing distance education and physical education... With the rapid development of 5G communication technology, distance education is becoming a trend, and physical education teaching is no exception. This study aims to explore the research on intelligent algorithms for remote classroom physical education teaching based on computer 5G communication technology. A solution based on intelligent algorithms is proposed by analyzing the existing distance education and physical education teaching technology and their problems. This study will focus on key technologies such as real-time interaction, action recognition, and feedback in remote classrooms and design corresponding intelligent algorithms. Experimental results show that the intelligent algorithm for remote classroom physical education teaching based on computer 5G communication technology can effectively improve the effect and experience of distance teaching, providing an innovative method for the intelligence and remoteness of physical education teaching. Read More Read Less

Abstract Innovation capability has become an essential indicator in assessing the competitiveness of a nation, a company, or an individual. However, traditional assessment methods are subjective and limited, making it difficult to comprehensively and accurately evaluate a region’s innovation capability. By constructing an innovation-driven development assessment model based on artificial intelligence algorithms, this article provides an effective method for evaluating innovation... Innovation capability has become an essential indicator in assessing the competitiveness of a nation, a company, or an individual. However, traditional assessment methods are subjective and limited, making it difficult to comprehensively and accurately evaluate a region’s innovation capability. By constructing an innovation-driven development assessment model based on artificial intelligence algorithms, this article provides an effective method for evaluating innovation capability. The model not only provides objective evidence for decision-makers but also promotes the implementation of innovation-driven development strategies. Taking the platform economy business model as an example, this paper explores how to assess and enhance the competitiveness of B2B ecommerce companies to promote the orderly and healthy development of the B2B ecommerce industry. This paper presents innovative research on the platform economy business model driven by the BP neural network and artificial intelligence technology. Read More Read Less