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

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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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Kong, J., Ren, M., Lu, T., & Wang, C. (2019). Analysis of College Students’ Employment, Unemployment and Enrollment with Self-Organizing Maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11462 LNCS, pp. 318–321). Springer Verlag. https://doi.org/10.1007/978-3-030-23712-7_44

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