Abstract
Nowadays, academic performance analysis has become increasingly critical for educational institutes, schools, and universities. Linked with academic achievements the academic performance is widely accepted and used as the assessment indicator for the quality of education. Therefore, it is important for educators and analysts to explore the behavior of enrolled students and investigate the factors affecting their performance. However, due to the existing factors concerning the investigation, such as social interactions, environment influence, and personal reasons related to very limited data collected, the task mentioned above is really challenging. Smart card data used on campus are able to not only provide both activity information and spatial temporal features for enrolled students, but also open a great opportunity for the further understanding about academic performance. In this paper, eduCircle, a visual analytic system, is presented to analyze student behaviors with academic performance based on smart card data. Three sophisticated designs with integrated visualization, mobility map, temporal analysis, and sequence views, have been proposed to analyze spatial temporal features in different time scales. Furthermore, several experiments have been conducted to explore the different student groups in a spatial temporal way. At last, some interesting findings are identified, which have further proved the effectiveness of the system.
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Acknowledgment
This research was supported in part by the National Natural Science Foundation of China, Grant No. 61502083. The authors wish to thank the anonymous reviewers for their valuable comments.
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Wu, Y., Gong, R., Cao, Y., Wen, C., Teng, Z., Pu, J. (2016). eduCircle: Visualizing Spatial Temporal Features of Student Performance from Campus Activity and Consumption Data. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2016. Lecture Notes in Computer Science(), vol 9929. Springer, Cham. https://doi.org/10.1007/978-3-319-46771-9_41
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DOI: https://doi.org/10.1007/978-3-319-46771-9_41
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