IJIET 2019 Vol.9(1): 61-65 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.1.1174

A Study of the Visualization Tool for Computer Science Majors’ Capability Assessment

Feng Ye, Yong Chen, and Qian Huang

Abstract—IT industry burgeoning, more and more enterprises and universities pay attention to the comprehensive ability of computer science majors. However, the existing assessment method giving priority to test scores, could not greatly demonstrate computer science majors’ capability and their development approaches, with drawbacks of serious one-sidedness, limitation and low perceptual intuition. Correspondingly, it’s difficult to teach students according to their aptitude or interests. Moreover, the current research works show that this research field still requires theoretical foundations, appropriate models, effective tools, in-depth experimentations and practical implementations. In order to solve this problem, the paper proposes an index system of students' for evaluating computer science majors’ ability, designs and implements the relevant visualization software of capability assessment based on dynamic radar charts and jitterplot, and then illustrates the application of this visual software through case studies. Based on the visualization tool, it has achieved good results in practical teaching.

Index Terms—Visualization tool, radar chart, jitterplot, capability assessment.

Feng Ye is with the College of Computer and Information, Hohai University, Nanjing, 211100, China. He is also with the Postdoctoral Centre, Nanjing Longyuan Micro-Electronic Company, Nanjing, 211106, China (e-mail: yefeng1022@hhu.edu.cn).
Y. Chen is with Nanjing Longyuan Micro-Electronic Company, Nanjing, 211106, China (e-mail: 68151247@qq.com).
Q. Huang is with the College of Computer and Information, Hohai University, Nanjing, 211100, China (e-mail: qhuang0100@163.com).

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Cite: Feng Ye, Yong Chen, and Qian Huang, "A Study of the Visualization Tool for Computer Science Majors’ Capability Assessment," International Journal of Information and Education Technology vol. 9, no. 1, pp. 61-65, 2019.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net