Educational Evaluation Based on Apriori-Gen Algorithm
Chen-Lei Mao 1 * , Song-Lin Zou 1, Jing-Hai Yin 1
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1 School of Management, Jiangxi University of Technology, Nanchang 330098, Jiangxi, CHINA
* Corresponding Author

Abstract

The issue of educational evaluation has long been a research hotspot. Using big data analysis method to conduct educational evaluation can improve the pertinence and effectiveness of education. Conventional Apriori algorithm has certain limitations in the application of educational evaluation. This paper introduces an improved Apriori-Gen algorithm and describes its application in evaluation of actual effectiveness of ideological and political course of colleges and universities. Through conducting correlation analysis of network questionnaire data, the study requirements of college students can be acquired, so as to improve the teaching effectiveness of ideological and political course. Results show that it is effective to apply the proposed study method in educational evaluation.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/ejmste/78097

EURASIA J Math Sci Tech Ed, 2017 - Volume 13 Issue 10, pp. 6555-6564

Publication date: 29 Sep 2017

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Article Downloads: 704

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