مطالعه شخصی سیستم آموزش الکترونیکی بر اساس منحنی دانش ساختاری

It is necessary for different learners demand for personalized learning contents in e-leaning environment. In this paper, the personalized learning system was constructed based on personalized knowledge structural graph (KSG) by the artificial intelligence, the data mining and the database technology. The system can dynamically assess the learning process to come out personalized KSG based on different learners. The optimal learning path (OLP) generator was designed and implemented based on personalized KSG through the topological sort algorithm, in order to provide learners personalized learning content and teaching methods. In addition, the system can also dig for the learning history data and gain the knowledge to improve personalized service decision-making rules and student model of the system. The experiments show that it greatly increases the efficiency of e-learning.

In the online learning environment based on network and computer technology, autonomous learning for many students is main learning mode. Students’ learning process in network shown alone, helpless and facing mass network learning resources has been overwhelming situation of computer, network and education etc researchers paid more attention to. And according to the students' learning goals and knowledge level, the curriculum repository from huge extract different learning content, as the goal of building an effective learning crowd, realize the guiding model for autonomous learning mode "teachers'scientific guidance" in recent years, has become e-learning the researchers focused research topic. For above problems, the personalized learning system was constructed based on personalized KSG by the artificial intelligence, the data mining and the database technology. The system can dynamically assess the learning process to come out personalized KSG based on different learners. The OLP generator was designed and implemented based on personalized KSG through the topological sort algorithm, in order to provide learners personalized learning content and teaching methods. In addition, the system can also dig for the learning history data and gain the knowledge to improve personalized service decision-making rules and student model. The experiments show that it greatly increases the efficiency of e-learning.

Individual learning content demand for different learners is necessary in e-leaning environment for independent learning, so an Individual learning system was constructed in this paper. The experiments show that it greatly increases the efficiency of e-learning.