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Research on the Innovation of Institutional Mechanisms for Urban-Rural Integration Development in Henan Province in the Context of New Urbanization

Abstract Promoting the integrated development of both rural and urban locations in the context of new urbanization is a major strategic initiative for comprehensively building a socialist modernized country and achieving coordinated development across regions. The first section of this essay focuses on the significance of modern urbanization and urban-rural combined development, as well as their interactions and internal dynamics. Second, using the province of Henan as an example, it constructs an indicator evaluation system, calculates indicator weights using the entropy value method, and analyzes the development comprehensive evaluation index in order to assess the degree of new urbanization and urban-rural integration development. In the end, a coupling degree of coordination model is constructed to examine the coupling cooperation between new urbanization and urban-rural combined development. Specific suggestions are given to innovate institutional systems that promote urban-rural integrated growth in Henan Province. The overall urban-rural integrated Henan Province’s development index exhibits an upward trend between 2010 and 2020; the comprehensive index increased from 0.1548 to 0.8628, with an average annual growth rate of almost 23.84%.In Henan Province, the value of coupling among the two systems of new urbanization and urban-rural integrated development has grown from 0.932 to 0.985, which is at a high degree of coupling. Urban-rural interaction will be realized, and the efficiency of urban-rural coordinated growth will be increased if the urban-rural built development approach in Henan Province is implemented based on local conditions, scientific positioning, and accelerating the melding of production and urbanization.

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Application Entropy Weight and TOPSIS Method in English Teaching Quality Evaluation of "Smart Classroom"

INTRODUCTION: Based on TOPSIS (Technological Ordering of Superiority and Inferiority) and entropy weight method, it aims to evaluate the quality of intelligent classroom English teaching. The brilliant classroom teaching model has attracted much attention for its highly interactive, personalized, and real-time feedback features; however, how to accurately evaluate the quality of intelligent classroom teaching remains a challenge.
 OBJECTIVES: To combine the TOPSIS and entropy weight methods in practical application and consider the index ordering and weight calculation comprehensively to arrive at the quality evaluation results of each brilliant classroom teaching.
 METHODS: The TOPSIS method is first used to rank multiple indicators of teaching quality to determine the optimal teaching quality. The TOPSIS method can consider the interrelationships between the hands and find the solution closest to the positive ideal solution and farthest away from the negative perfect solution by calculating each indicator's positive and negative perfect solutions. Then, the weight of each hand is calculated by combining the entropy weight method. The entropy weight method can consider the indicators' information and differences and measure the degree of their contribution to the evaluation results by calculating the entropy value of the hands.
 RESULTS: The results show that the method can comprehensively consider the correlation and weight of multiple indicators, provide teachers and educational administrators with accurate teaching quality evaluation and improvement suggestions, and thus promote the optimization and enhancement of innovative classroom teaching.
 CONCLUSION: By analyzing the actual smart classroom teaching data, the Author found that the method can effectively evaluate the quality of intelligent classroom teaching and provide valuable guidance for English teaching improvement.

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