Based on the research of spatial pattern dynamic evolution algorithm and optimization model construction and driving mechanism of provincial tourism eco-efficiency in China under the background of cloud computing, this paper takes 30 provinces in mainland China (excluding Tibet, Hong Kong, Macao, and Taiwan) as the research object and scientifically constructs the measurement index system of tourism eco-efficiency. The Super-SBM-Undesirable model is used to measure the tourism eco-efficiency of each province from 2004 to 2017, and the algorithm and model are optimized. This paper explores the spatial evolution trajectory and path of tourism eco-efficiency by using the barycentric standard deviation ellipse method and constructs a dynamic panel model to identify the factors affecting the evolution trajectory and their driving mechanisms by using the SYS-GMM method. The results show that China’s tourism eco-efficiency is at a high level and the eastern region is higher than the central and western regions. From the moving track of the center of gravity, the center of gravity of China’s tourism eco-efficiency is located in Henan province, which has experienced a process of moving from southeast to northwest. From the standard deviation ellipse, the spatial distribution direction of China’s tourism eco-efficiency presents a “northeast-southwest” pattern, and there is a further strengthening trend of deviation. There is a significant positive correlation between tourism eco-efficiency and tourism industrial structure upgrading, tourism industrial structure rationalization, tourism technology level, and tourism human capital, as well as a significant negative correlation between tourism eco-efficiency and tourism economic development level, environmental regulation intensity, and the degree of opening to the outside world, while the relationship between urbanization and tourism eco-efficiency is relatively vague.

To establish an evaluation system for the high-quality development of China’s recreational fisheries, this paper will cover five aspects: the construction of leisure environments, efficient resource allocation, economic structure optimization, infrastructure improvement, and high-quality project cultivation. In this paper, the entropy weighting method is used to measure the subsystem and comprehensive level of recreational fisheries in 29 provinces of China during 2018. The results show that there are different subsystem levels for the high-quality development of recreational fisheries in different provinces, and the comprehensive level of high-quality development of recreational fisheries presents the characteristics of the spatial pattern of declining gradients in the eastern, central, and western regions. The Chinese government should consider both the advantages and disadvantages of the high-quality development of recreational fisheries in different provinces to plan the path for further high-quality development of these fisheries, giving priority to the improvement and perfection of the backward subsystem level and promoting the high-quality development level of recreational fisheries in the central and western provinces of China through the regional coordination interactive policy.

The spread of COVID-19 in the world has changed the original way of life, economy, society, learning and work around the world. Under the background of normalization of epidemic prevention and control, how to carry out overseas Chinese education and how to affect overseas Chinese education is one of the important issues concerned by scholars at home and abroad and overseas Chinese. How to effectively deal with the international situation after the outbreak of the epidemic and how to determine the future development direction of overseas Chinese education is an important goal and direction that researchers need to study in depth.Based on the perspective of teaching effect evaluation of blended learning mode under the background of artificial intelligence, this paper takes Phuket Thai Chinese School in ASEAN as an example, collects relevant research data through grounded survey method, adopts quantitative analysis method, comprehensively judges the impact of overseas Chinese education after the outbreak of the epidemic, and puts forward systematic, comprehensive and scientific suggestions. It is hoped that the decision-making mechanism and method innovation of overseas Chinese education in response to the new coronavirus disease will be effectively promoted, and the effective development of overseas Chinese education will be actively promoted.

Intelligent medical treatment is an important research field in today’s world. Artificial intelligence technology is the key factor to construct intelligent medical treatment. In the development of artificial intelligence technology, it is necessary to establish a scientific, systematic, and comprehensive system analysis model, inevitably with certain professional characteristics. At present, in the research of vocal health care in professional vocal music performance, the application of intelligent medical care and vocal health care in professional vocal music performance is studied. According to the DEMATEL-ISM research method, this paper constructs 4 internal and external factors and 16 influencing factors to build a comprehensive and systematic weight analysis model, which provides a theoretical and practical basis for the scientific construction of AI technology algorithms. The aim is to improve the value and research significance of intelligent medical artificial intelligence technology in professional vocal music performance sound care.