Research on Dynamic Evaluation of University Collaborative Education System Based on Global Entropy Method Under Big Data

Huang Muqian

Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

Research Article

Research on Dynamic Evaluation of University Collaborative Education System Based on Global Entropy Method Under Big Data

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-87903-7_33,
    author={Huang Muqian},
    title={Research on Dynamic Evaluation of University Collaborative Education System Based on Global Entropy Method Under Big Data},
    proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II},
    proceedings_a={BIGIOT-EDU PT2},
    year={2021},
    month={10},
    keywords={Global entropy Cooperation Education system},
    doi={10.1007/978-3-030-87903-7_33}
}

Huang Muqian
Year: 2021
Research on Dynamic Evaluation of University Collaborative Education System Based on Global Entropy Method Under Big Data
BIGIOT-EDU PT2
Springer
DOI: 10.1007/978-3-030-87903-7_33

Huang Muqian¹

1: Software Engineering Insitute of Guangzhou

Abstract

Based on the analysis of the essence of global entropy in collaborative education under big data, this paper constructs the evaluation model of university collaborative education from the overall perspective. Through the analysis of the regional innovation system from the perspective of “structure function”, it is found that the dynamic evaluation of university collaborative education system. Cooperative education in Colleges and universities has a certain direction. Through this study. It expands the breadth and depth of the application of collaborative education in Colleges and universities.

Keywords: Global entropy Cooperation Education system

Published: 2021-10-18
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-87903-7_33