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Recently, small class course teaching, with less than 30 students, seems to outperform the traditional large class course teaching in the field of education. Students can use online private course platform to preview course-related knowledge and promote practical experiences of offline courses. In this study, an evaluation strategy has been proposed for precision education protocol in small class course (SCC) based on artificial intelligence (AI), with the goal of focusing on the curriculum design and teaching approaches. By using the AI precision education model, the teaching approaches of SCC can be integrated into the traditional classroom. The results showed that the AI precision education model can promote the learning outcomes and enhance students’ learning achievements.

This study focused on the effects of external conditions on the performance of grass swales installed to improve stormwater runoff quality. Four grass swales in Beijing and Shenzhen with different underlying surface characteristics, antecedent dry weather period (ADWP), transport within the grass swales, and rainfall characteristics, were compared during 16 rainfall events in Beijing and six in Shenzhen, and were evaluated over two years. The results revealed that the impervious fraction of the catchment's surface below the swales influenced inlet pollutant concentrations, resulting in variations in their efficiency. ADWP, transport within the swales, and rainfall characteristics all had important effects on their efficiency in removing pollutants. With high pollution loads, long ADWP, and concentrated influent, the swales reduced pollutant concentrations significantly, particularly suspended solids.