It can improve the learning effect and reduce the learning burden to recommend exercises which are in accordance with the teaching objectives to students. How to accurately judge the needs of students and recommend exercises that are consistent with the teaching objectives is an urgent problem to be solved in the field of personalized education. This paper proposes a personalized exercise recommendation method for teaching objectives. This method can recommend exercises that are highly compatible with the syllabus for students according to their selected knowledge points and expected score range. According to the experimental test, the average prediction success rate of this method is 72.5%, 57.2% higher than the exercise recommendation method based on collaborative filtering and KNN, and 10.6% higher than the exercise recommendation method based on cognitive diagnosis and probability matrix decomposition.
KEYWORDS: Data acquisition, Databases, Data storage, Telecommunications, Web 2.0 technologies, Social networks, Lithium, Control systems, Network architectures, Internet
The theory of the six degrees of separation states that there are no more than six people between someone and any stranger, meaning that someone can meet any stranger through no more than six intermediaries. As one of the most popular social media applications in China, Weibo and its user data can be employed as the testing tool for the practical significance the theory holds. In this paper, an indirect network acquisition system containing two subsystems: Weibo user data acquisition system and user relationship analysis system has been established by Web crawler, and the system’s availability and effectiveness have been tested by system service test, which shows the possibility of the Indirect network acquisition system.
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