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Visual Analysis of Multi-source Temporal Data for Online Learning

  • Xian Li,
  • Cen Gao,
  • Meng Li,
  • Xu Li

摘要

Nowadays with the rapid development of education information, distance education is gradually popularized in People’s Daily life and has attracted more and more attention. As the online learning platform using scale expands increasingly, learners and online learning platform of interaction in the process of multi-source temporal data, through analyzing the multi-source temporal data mining, can know more about students’ online learning situation, found that students learning rule, etc., this approach will assist the teacher to students in the learning process timely intervention, targeted guidance, and thus, the goal of personalized training can be achieved.