About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Online Teaching Method of Biochemistry Course of Nursing Specialty Based on Association Rules

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_51,
        author={Jin Chen and Kai Yang and Ying Pang and Menglai Shen and Ping Liu and Jie Lu},
        title={Online Teaching Method of Biochemistry Course of Nursing Specialty Based on Association Rules},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Association rules Nursing specialty Biochemistry course Online teaching method},
        doi={10.1007/978-3-031-21161-4_51}
    }
    
  • Jin Chen
    Kai Yang
    Ying Pang
    Menglai Shen
    Ping Liu
    Jie Lu
    Year: 2023
    Online Teaching Method of Biochemistry Course of Nursing Specialty Based on Association Rules
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_51
Jin Chen1,*, Kai Yang1, Ying Pang1, Menglai Shen1, Ping Liu1, Jie Lu2
  • 1: Anhui Medical College
  • 2: Shanghai Institute of Visual Arts (SIVA)
*Contact email: chenjin@ahyz.edu.cn

Abstract

The content of biochemistry course of nursing specialty is relatively abstract, which is difficult for students to understand and has low learning enthusiasm. In order to improve students’ learning enthusiasm and improve the overall teaching effect, an online teaching method of biochemistry course of nursing specialty based on association rules was studied. The problems existing in online teaching are summarized and analyzed. Based on the existing problems and on the basis of in-depth understanding of data mining theory, association rules algorithm is applied to online learning behavior analysis, online examination score analysis, teaching resource recommendation and teaching quality evaluation to mine the hidden and useful knowledge in teaching data and realize the effective combination of teaching and learning in online teaching. The test results show that under the application of this method, the accuracy of course recommendation is maintained at about 80%, which improves the overall teaching effect.

Keywords
Association rules Nursing specialty Biochemistry course Online teaching method
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_51
Copyright © 2022–2025 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