About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I

Research Article

Reliability Evaluation Model of Online Teaching Quality Based on Big Data Technology

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-94185-7_26,
        author={Feng Wang},
        title={Reliability Evaluation Model of Online Teaching Quality Based on Big Data Technology},
        proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I},
        proceedings_a={IOTCARE},
        year={2022},
        month={6},
        keywords={Big data technology Online teaching Reliability assessment},
        doi={10.1007/978-3-030-94185-7_26}
    }
    
  • Feng Wang
    Year: 2022
    Reliability Evaluation Model of Online Teaching Quality Based on Big Data Technology
    IOTCARE
    Springer
    DOI: 10.1007/978-3-030-94185-7_26
Feng Wang1,*
  • 1: Jiujiang University
*Contact email: wangfeng17172021@163.com

Abstract

In order to ensure the education ability of online teaching course and solve the disadvantages of traditional teaching methods in location, a reliability evaluation model of online teaching quality based on big data technology is designed. By classifying the online teaching quality assessment method, comparing the practical application ability of each evaluation method, we determine a most reliable evaluation method, and complete the construction of online teaching quality evaluation index system. On this basis, a perfect online teaching system is built. According to the application requirements of evaluation framework and evaluation strategy, the necessary reliability evaluation objectives are defined, and the online teaching quality reliability evaluation model based on big data technology can be successfully applied. Comparing the model with the traditional structural equation model, it can be seen that big data technology can strengthen the reliability evaluation of online teaching quality by network hosts, thus breaking the inhibition effect of location restrictions on online curriculum teaching ability.

Keywords
Big data technology Online teaching Reliability assessment
Published
2022-06-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94185-7_26
Copyright © 2021–2025 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