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Design of Online Teaching Platform for Multi-mode Learning with Dual-course System
Abstract
College teaching platforms have begun to realize the importance of teaching management, but the teaching effect of the dual-course education system has not been greatly improved. What is needed is the construction of online and offline teaching mode platforms based on the selection of a two-course education scheme. Based on the simple analysis of the research progress of dual-course education and teaching-related intelligent algorithms, this study constructed a platform with an improved algorithm using clustering analysis and a priori association rules, and a new recommendation algorithm is proposed, which realizes the personalized recommendation of dual-course education resources. The coverage and accuracy of the learning resource recommendation shorten the running time, and the newly proposed algorithm has excellent performance.
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