Research on the Evaluation of Students’ Development Based on Support Vector Machine

Li Na Zhang; Bo Yang

doi:10.4028/www.scientific.net/AMM.651-653.2502

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Research on the Evaluation of Students’...

Research on the Evaluation of Students’ Development Based on Support Vector Machine

Abstract:

This paper applies SVM theory to the evaluation of student development system, and study on the content of students’ development contains, at the same time establish the evaluation index system of students’ development. Through the use of sample data on the evaluation system for a certain amount of training, we get a trained model, then evaluate and analyze the students’ data to be measured. This approach can make students’ assessment more accurate and reasonable, and evaluation results can be used in scientific. It can be seen from the development point of view, evaluation of all aspects of students' quality, and reduce the error caused by subjective on evaluation process.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

2502-2505

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.2502

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Online since:

September 2014

Authors:

Li Na Zhang*, Bo Yang

Keywords:

Development of the Students, Index of Evaluation, SVM

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* - Corresponding Author

References

[1] TIAN X, DENG F Q. An improved multi2class SVM algorithm and its application to the credit scoring model [A]. Proceedings of the fifth World Congress on Intelligent Control and Automation[C]. Hangzhou, China, (2004).

DOI: 10.1109/wcica.2004.1341918

Google Scholar

[2] PHETKAEW T, KIJ SIRIKUL B, RIV EPIBOON W. Reordering adaptive directed acyclic graphs: an improved algorithm for multiclass support vector machines [A]. Proceedings of the 2003 International Joint Conference on Neural Networks [C]. Portland, OR, USA, 2003, 2(3): 236-241.

DOI: 10.1109/ijcnn.2003.1223939

Google Scholar

[3] HSU C W, L IN C J. A comparison of methods for multiclass support vector machines [J ]. IEEE Transactions on Neural Networks, 2002, 13 (2) : 415 - 425.

DOI: 10.1109/72.991427

Google Scholar

[4] Jennifer Rowley. Is Higher Education Ready for Knowledge Management [J]. The International Journal of Educational Management, 2000, 3: 36-42.

Google Scholar

[5] Kenneth. A. Feldman. Effective College Teaching From The Student's and Faculty's view[J]. Mathced or Mismatched Priorities Research in Higher Education, Vol. 28. 1988, (4): 291-292.

DOI: 10.1007/bf01006402

Google Scholar