Survey of Big Data Visualization in Education

Abstract

Visualization analysis of big data in education plays an important role in understanding and mining com-plex educational rules, which has become an important topic in the field of educational information science research. This paper first summarizes the typical characteristics of big data in education, introduces the latest research results in the application of big data in education from three aspects: promoting students?? metacognitive development, assis-ting teachers to supervise the learning process and improving managers scientific decision-making level, and describes the basic process of visual analysis using big data in education. Then, this paper focuses on five mainstream visua-lization presentation methods of big data in education, including text data visualization, multidimensional data vis-ualization, network data visualization, time series data visualization and geospatial data visualization, and gives specific application scenarios. Then it introduces the dynamic query and filter technology, scalable/deformable interface technology and multi-view linkage technology, three key interactive technology methods to implement the visuali-zation of big data in education. Finally, according to the latest research trends, the future research direction of big data visualization in education is prospected from four aspects: multi-mode education data fusion, man-machine interaction, man-machine collaboration paradigm, and the standard specification and evaluation system of visual design of education data.

Keywords

• big data in education
• visualization analysis
• big data visualization
• data fusion
• man-machine interaction