| Related citation: | Chi Zhang,Huan Yan,Ying Fu,Guofeng Han,Fan Feng.Advances in Educational Data Mining Models and the Application of Its Algorithms[J].Journal of Harbin Institute Of Technology(New Series),2016,23(6):32-40.DOI:10.11916/j.issn.1005-9113.2016.06.005. |
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| Author Name | Affiliation | | Chi Zhang | School of Material Science and Engineering，Harbin Institute of Technology, Harbin 150001, China | | Huan Yan | School of Material Science and Engineering，Harbin Institute of Technology, Harbin 150001, China | | Ying Fu | School of Material Science and Engineering，Harbin Institute of Technology, Harbin 150001, China | | Guofeng Han | School of Material Science and Engineering，Harbin Institute of Technology, Harbin 150001, China | | Fan Feng | School of Material Science and Engineering，Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: |
| In order to find an effective way to improve the quality of school management, finding valuable information from students’ original data and providing feedback for student management are necessary. Firstly, some new and successful educational data mining models were analyzed and compared. These models have better performance than traditional models (such as Knowledge Tracing Model) in efficiency, comprehensiveness, ease of use, stability and so on. Then, the neural network algorithm was conducted to explore the feasibility of the application of educational data mining in student management, and the results show that it has enough predictive accuracy and reliability to be put into practice. In the end, the possibility and prospect of the application of educational data mining in teaching management system for university students was assessed. |
| Key words: educational data mining models student grade management neural network |
| DOI：10.11916/j.issn.1005-9113.2016.06.005 |
| Clc Number:TP391 |
| Fund: |
