• DocumentCode
    3777717
  • Title

    Inducing awareness for learners through visualizing mutual evaluation data by a self-organizing map

  • Author

    Yuta Ueki;Kei Ohnishi

  • Author_Institution
    Graduate School of Computer Science and System Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan
  • fYear
    2015
  • Firstpage
    123
  • Lastpage
    128
  • Abstract
    Self-evaluation and evaluations among peer learners, which together are called mutual evaluations in this study, are presumed to motivate learners to increase learning and introspection. The basis behind these effects is the awareness resulting from the differences between self-evaluation and evaluations from others. Therefore, for learners to benefit from the effects of mutual evaluations, we need to easily visualize the mutual evaluation results that make them aware of something. In this paper we design a system to visualize mutual evaluation data, which are many and multi-dimensional data, in such a way that we can easily grasp the overview at first glance and develop an actual system according to the design for fostering ?Fundamental Competencies for Working Persons? as an example. In addition, we compare the visualization method used in the developed system with an existing method through a subjective evaluation test and a statistical hypothesis test. Finally, we show the usefulness of our visualization method by comparing the results.
  • Keywords
    "Data visualization","Radar","Industries","Employment","Unified modeling language","Principal component analysis"
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2015 7th International Conference of
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2015.7492795
  • Filename
    7492795