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Analysis of College Students’ Employment, Unemployment and Enrollment with Self-Organizing Maps

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E-Learning and Games (Edutainment 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11462))

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Abstract

The job-hunting and graduate school admission of college students are important tasks in universities. To investigate the impact of students’ academic achievement to their graduation whereabouts, Self-Organizing Maps is introduced in this study. Through the analysis of experiment results, the features of academic performance in different students’ graduation whereabouts segments are proposed. The findings could help educators better understand the relationship between academic performance and graduation whereabouts.

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Acknowledgments

This work is supported by the Science Research Project of Shaanxi Provincial Department of Education (Grant No: 17JK0614) and the Youth Innovation Fund of Xian Shiyou University (Grant No: 2013BS025).

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Authors and Affiliations

  1. School of Computer Science, Xi’an Shiyou University, No. 18 2nd Dianzi Road, Xian, 710065, China

    Jie Kong, Meng Ren, Ting Lu & Congying Wang

Authors
  1. Jie Kong
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  2. Meng Ren
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  3. Ting Lu
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  4. Congying Wang
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Corresponding author

Correspondence to Jie Kong .

Editor information

Editors and Affiliations

  1. Liverpool John Moores University, Liverpool, UK

    Abdennour El Rhalibi

  2. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

  3. Xi’an University of Technology, Xi’an, China

    Haiyan Jin

  4. Hangzhou Normal University, Hangzhou, China

    Dandan Ding

  5. Pontificia Universidad Javeriana, Cali, Colombia

    Andres A. Navarro-Newball

  6. Xi’an University of Technology, Xi’an, China

    Yinghui Wang

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Kong, J., Ren, M., Lu, T., Wang, C. (2019). Analysis of College Students’ Employment, Unemployment and Enrollment with Self-Organizing Maps. In: El Rhalibi, A., Pan, Z., Jin, H., Ding, D., Navarro-Newball, A., Wang, Y. (eds) E-Learning and Games. Edutainment 2018. Lecture Notes in Computer Science(), vol 11462. Springer, Cham. https://doi.org/10.1007/978-3-030-23712-7_44

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  • DOI: https://doi.org/10.1007/978-3-030-23712-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23711-0

  • Online ISBN: 978-3-030-23712-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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