Now showing items 1-4 of 4

    • MOOCad: Visual Analysis of Anomalous Learning Activities in Massive Open Online Courses 

      Mu, Xing; Xu, Ke; Chen, Qing; Du, Fan; Wang, Yun; Qu, Huamin (The Eurographics Association, 2019)
      The research on Massive Open Online Course (MOOC) has mushroomed worldwide due to the technical revolution and its unprecedented enrollments. Existing work mainly focuses on performance prediction, content recommendation, ...
    • Oui! Outlier Interpretation on Multi-dimensional Data via Visual Analytics 

      Zhao, Xun; Cui, Weiwei; Wu, Yanhong; Zhang, Haidong; Qu, Huamin; Zhang, Dongmei (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Outliers, the data instances that do not conform with normal patterns in a dataset, are widely studied in various domains, such as cybersecurity, social analysis, and public health. By detecting and analyzing outliers, ...
    • RankBooster: Visual Analysis of Ranking Predictions 

      Puri, Abishek; Ku, Bon Kyung; Wang, Yong; Qu, Huamin (The Eurographics Association, 2020)
      Ranking is a natural and ubiquitous way to facilitate decision-making in various applications. However, different rankings are often used for the same set of entities, with each ranking method placing emphasis on different ...
    • SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics 

      Xia, Meng; Xu, Min; Lin, Chuan-en; Cheng, Ta Ying; Qu, Huamin; Ma, Xiaojuan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Problem-solving dynamics refers to the process of solving a series of problems over time, from which a student's cognitive skills and non-cognitive traits and behaviors can be inferred. For example, we can derive a student's ...