For the purpose of providing crucial theoretical support for guaranteeing food security and reaching low-carbon emissions, this study examines the spatiotemporal evolution and influencing factors of the eco-efficiency of cultivated land use (ECLU) across 125 cities in the Yangtze River Economic Belt (YREB) from 2005 to 2022. Utilizing models such as Super-SBM, spatial autocorrelation, standard deviational ellipse, and regionally weighted regression, we investigate the spatiotemporal characteristics and influencing factors. The results indicate that (1) from 2005 to 2022, the overall ECLU in the YREB has shown a notable increase, demonstrating an “N”-shaped trend of “rise-decline-rise”, although trends vary at the city level, with upstream areas exhibiting higher efficiency than downstream and midstream areas. (2) Furthermore, a significant positive correlation exists in the ECLU among the cities, exhibiting pronounced spatial differentiation; the centroid displays a migration trajectory from “southwest-northeast-southwest”, with the long axis of the ellipse consistently oriented in the “southwest-northeast” direction. (3) Additionally, the influencing factors of the ECLU exhibit significant spatial heterogeneity across different years and regions, revealing substantial regional disparities among the cities in the YREB. Future efforts should focus on exploring differentiated regional pathways, increasing investment in agricultural technology, and enhancing farmers’ environmental awareness to promote the improvement of the ECLU.

The learning platform model of vocational education is characterized by openness and sharing Openness is reflected in the fact that the learning platform is a collection of resources, absorbing various forms of high-quality resources, while providing universities and related institutions with better ways to cultivate talents and continuously enriching educational teaching resources. The vocational education platform is both a collector and integrator of resources, as well as a disseminator and provider of resources, constantly providing teachers and students with information resources and realizing the sharing of educational resources. New constructivism emphasizes teaching goals while paying close attention to the construction of deeper meaning. This study analyzes the optimization and creation of a new teaching platform based on the context of artificial intelligence in the new era. It explores the development of big data platforms for intelligent education and the integration of vocational education platforms in the context of big data, making certain fundamental contributions to our educational model as well as educational development, while also achieving certain breakthroughs and research results in new fields.