Visual exploration for time series data using multivariate analysis method

In the online teaching activities, there are various teaching data accumulated as time series and many methods to analyze the quality of teaching. But there are no such methods which can emphasize the status perception of the teaching-learning and the interaction between the teachers and students. In this paper, we adopt multivariate analysis method to help teachers improve their teaching and to promote the students´ mastery of knowledge. We add the analysis of student learning status to reflect the students´ learning ability clearly. Through statistical analysis, clustering algorithm and visualization, users can distinguish the students of different abilities and use different educational strategies. Our system named as AVOJ, including multivariate visual analysis and data mining methods, is proved usefully both in teaching and learning instruction.