Elective Courses Recommendation and Occupational Tendency Research Based on Information and Course Grades of College Students

DOI

10.2991/iceess-18.2018.68How to use a DOI?

Keywords

elective courses recommendation, course grade, occupational tendency, education reform

Abstract

In this paper, based on the information and the course grades of college students, it uses SVM algorithm to analyze the curriculum and occupational preference of all students and give the evaluation results. It proposes to analyze the overall distribution of curriculum and occupational orientation of students under the several influencing factors. It recommends more appropriate elective courses and more suitable employment direction for college students. The results of statistical analysis can provide foundation for teaching reform and curriculum reform, and also provide data basis for the formulation of enrollment plan. At the same time, it proposes to use expert system to generate occupational tendency assessment results of students automatically. Finally, it constructs the PPI control model for the enrollment plan.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Tang
AU  - Huapeng Zeng
AU  - Li He
AU  - Peihong Wang
PY  - 2018/10
DA  - 2018/10
TI  - Elective Courses Recommendation and Occupational Tendency Research Based on Information and Course Grades of College Students
BT  - Proceedings of the 2018 International Conference on Education, Economics and Social Science (ICEESS 2018)
PB  - Atlantis Press
SP  - 279
EP  - 282
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceess-18.2018.68
DO  - 10.2991/iceess-18.2018.68
ID  - Tang2018/10
ER  -