About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I

Research Article

Data Mining of Chinese Language and Literature Education Based on Diversified Constraint Model

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-63130-6_24,
        author={Xiaolan Wei},
        title={Data Mining of Chinese Language and Literature Education Based on Diversified Constraint Model},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2024},
        month={7},
        keywords={Chinese language and literature education Data mining Multiple constraint model},
        doi={10.1007/978-3-031-63130-6_24}
    }
    
  • Xiaolan Wei
    Year: 2024
    Data Mining of Chinese Language and Literature Education Based on Diversified Constraint Model
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-63130-6_24
Xiaolan Wei1,*
  • 1: Nanchang Institute of Science and Technology, Nanchang
*Contact email: 565607996@qq.com

Abstract

China culture. When teaching Chinese language and literature, teachers should vigorously and guide the teaching, so as to effectively enhance students’ learning enthusiasm. All colleges and universities have established their own teaching management information systems, which have greatly improved the level of teaching and management, and accumulated a large amount of teaching and management data. But at present, most of these information systems are on-line transaction processing, lacking the ability of comprehensive analysis and decision-making. Data mining technology is produced to solve this problem. If the function of classifying and deep-level analysis of the collected data cannot be provided, the managers cannot understand the relevant information in time in the face of complex situations, and the leaders do not have practical data support in decision-making. As the core component in the field of digital education practice, diversity constraint model understands the structural form of Chinese language and literature education data mining in the field of learning practice with internal psychological mechanism and external behavior structure.

Keywords
Chinese language and literature education Data mining Multiple constraint model
Published
2024-07-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-63130-6_24
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL