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Erschienen in:
08.02.2018
A Study on the Influence of Non-intelligence Factors on College Students’ English Learning Achievement Based on C4.5 Algorithm of Decision Tree
Erschienen in: Wireless Personal Communications | Ausgabe 2/2018
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Abstract
In college students’ English learning, it is undeniable that non intelligence factors can significantly influence their English learning achievement. This paper studies the influence of non intelligence factors on English learning achievement of college students. Decision tree algorithm is used to construct decision tree for factors influencing of college students’ English learning, which is further modified through C4.5 algorithm according to the actual situation, and the non intelligence factors influencing college English learning achievement are obtained. Finally, the conclusion is further tested, and the test results indicate that the prediction rule can accurately predict the English learning achievement of average students and underachievers. Therefore, the proposed algorithm can be used as a good predictor for students with average or poor English learning achievement and meet the requirement of teaching assistance.