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Predicting Course Score for Undergrade Students Using Neural Networks

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Intelligent Computing Theories and Application (ICIC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12837))

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Abstract

The rapid development of education big data has accumulated valuable data resources for the modernization of education. The teaching mode has gradually developed from the traditional “experience” teaching mode to a brand new “data” teaching model. The applications of education big data increasingly diversified, among them the research on education data is called Education Data Mining (EDM). In order to improve the academic performance of students and the teaching quality of universities, this paper proposed a score prediction model based on multi-layer feedforward neural network. During the optimization of this model, the accuracy of the experiment results improving gradually. Experimental results showed that the score prediction model can supply different levels of risking warning based on students score, and it also can help teachers to take early interventions to make sure students graduate successfully.

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Author information

Authors and Affiliations

  1. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022, China

    Ming Liu, Runyuan Sun & Na Zhang

  2. Digital Department, Shandong Branch of China Unicom, Jinan, 250021, China

    Zhuohui Li

Authors
  1. Ming Liu
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  2. Zhuohui Li
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  3. Runyuan Sun
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  4. Na Zhang
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Corresponding author

Correspondence to Na Zhang .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Shenzhen University, Shenzhen, China

    Jianqiang Li

  4. Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia

    Valeriya Gribova

  5. Department of Computer Science, Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Liu, M., Li, Z., Sun, R., Zhang, N. (2021). Predicting Course Score for Undergrade Students Using Neural Networks. In: Huang, DS., Jo, KH., Li, J., Gribova, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2021. Lecture Notes in Computer Science(), vol 12837. Springer, Cham. https://doi.org/10.1007/978-3-030-84529-2_61

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  • DOI: https://doi.org/10.1007/978-3-030-84529-2_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84528-5

  • Online ISBN: 978-3-030-84529-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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