Search

During the epidemic period, large-scale online teaching accelerated the deep integration of Internet plus education and teaching, information technology and various educational forms. The innovation of curriculum construction is an important starting point for the construction of new engineering and new liberal arts, and online and offline mixed courses will become an important way and carrier of teaching reform in colleges and universities. Taking College English, an online and offline mixed course in application-oriented universities, as an example, this paper explains how to create a "new normal" of foreign language mixed teaching based on the network platform by reconstructing the traditional teaching time and space, and provides enlightenment for constructing the foreign language teaching ecology of "Internet plus".

The contradiction between economic development and water pollution is ever so obvious in most agricultural watersheds in China. The continuous popularization of commercial crops in hills, especially tea, has intensified water eutrophication, which has attracted close attention of the Chinese government. Under this circumstance, local authorities have proposed the returning of tea plantations to forests, which would distinctly inhibit the development of rural economics. Hence, we employed a calibrated SWAT model to determine the total nitrogen/total phosphorus (TN/TP) loads in the reservoir, nutrient contribution of each land use type, and landscape pattern in a representative agricultural watershed. Aimed at the synchronous development of the economy and environment, this research study investigated the correlation between landscape pattern and nutrient output to accordingly propose alternative management strategies based on the correlation and actual watershed situation. Correlation analysis suggested that the landscape pattern prominently affects nutrient output in farmlands, tea plantations, orchards, and grasslands, and that the impact varies with the land use types and landscape parameters. Furthermore, a stepwise multiple regression model revealed that the landscape pattern could effectively predict nutrient output in farmlands, tea plantations, orchards, and grasslands. The aggregation index (AI) (R2 = 0.996, p