The personalized university English learning system in computer-driven research

The aim of this study is to develop a computer-assisted personalised university English learning system to improve learning efficiency and effectiveness. Machine learning algorithms were used to analyse student data and build a personalised learning model. Experimental results show that the system significantly outperforms traditional methods in vocabulary acquisition (22% improvement), listening comprehension (18% improvement) and oral fluency (15% improvement). The conclusion suggests that a personalised learning system based on artificial intelligence and big data can effectively improve university English teaching, and provide a new direction for the future development of educational technology. During the Eastern Han period, the production of everyday pottery, pottery sculptures, architectural bricks and tiles, a variety of ceramic sculptures, living statues, horses, acrobatics and other funerary objects, as well as new products such as large lofts, chariots and horses, became the main features of the industry.