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CET-4 score analysis based on data mining technology

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Abstract

The use of data mining technology to analyze college students’ scores can effectively analyze and deal with the data of grades, so as to improve the working time limitation of the education administrators and help them to adjust education decision instantly. Using data mining techniques to analyze CET-4 grades, we can find the rules or patterns hidden in the grade data and mine the multiple relationships hidden in the grade data. This article focuses on the association rules and classification techniques, Apriori algorithm and decision tree in association rules applied to college students CET-4 score analysis to mining and analysis of the final scores of college English in four semesters and CET-4 scores relevance and the influence of CET-4 exam four parts (listening, reading, writing and synthesis) on the total score of CET-4, to provide policy makers with decision-making data to further improve college English teaching.

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Acknowledgements

A Planned Project Funded by HeiLongjiang Association of Higher Education “13th Five-Year” of Higher Education Research Project, On Cultivation of English Academic Ability and Critical Thinking Ability of College Students, 16G285. A General Program Funded by Education Department of Heilongjiang Province Basal Research Fund, Study on Differences between Chinese and Western Tragedies, 135209550.

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Authors and Affiliations

  1. Department of College English Teaching and Researching, Qiqihar University, Heilongjiang, China

    Jie Xu

  2. Foreign Language Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China

    Yang Liu

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  1. Jie Xu
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  2. Yang Liu
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Correspondence to Yang Liu.

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Xu, J., Liu, Y. CET-4 score analysis based on data mining technology. Cluster Comput 22 (Suppl 2), 3583–3593 (2019). https://doi.org/10.1007/s10586-018-2208-x

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  • DOI: https://doi.org/10.1007/s10586-018-2208-x

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