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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Model Design of Achievement Pre-warning in High Education Based on Data Mining
verfasst von : Wu Hai-feng, Cheng Yu-sheng, Hu Xue-gang
Erschienen in: Advanced Technology in Teaching
Verlag: Springer Berlin Heidelberg
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At present, high education in china has been changed from elite education to mass education. However, a considerable number of students have academic problems. The problem that needs urgent solution in college is how to find academic problems timely and automatically which have appeared or are forthcoming, and reduce the chances of academic problems. The model of achievement pre-warning in high education based on data mining is proposed, which can find three types of academic problems-low type, landslide type and latent type, and give the appropriate pre-warming information. The information has some guidance to complete their studies for the pre-warning students.