Integration and Recommendation of Multimedia Network-Assisted English Instructional Resources Based on Association Rules Mining

The integration of multimedia teaching refers to a novel mode that combines multimedia, information resources, and methods with content process in the guidance contemporary educational ideas organically unifies them on spatial temporal platform, so as better accomplish tasks. However, deepening network school connotation construction, various resources such media materials, courseware, courses, cases generated by education teaching, well academic works, papers, patents, project results, lectures experts professors gathered scientific research, are increasing. In this situation, how integrate courses provide students an independent learning platform information-based environment has become urgent issue. For problem, data mining shown strong vitality, can find out potential connection between datasets. Association rule is most researched widely used method. paper, we propose network-assisted English method based association algorithm give full play role “multimedia technology” realize traditional culture, achieve purpose optimizing teaching. experimental results show increase volume, average testing time Apriori reduced 56.49 s compared MapReduce, advantage more obvious. Therefore, research effectively rich colorful personalized high-performance interactive learning, help cultivate their ability lifelong habits.