Research on the Application of Information Data Classification in Employment Guidance for Higher Vocational Students

Fang Fang

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 the Application of Information Data Classification in Employment Guidance for Higher Vocational Students

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-87903-7_50,
    author={Fang Fang},
    title={Research on the Application of Information Data Classification in Employment Guidance for Higher Vocational Students},
    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={Information data classification Higher vocational students Application research},
    doi={10.1007/978-3-030-87903-7_50}
}

Fang Fang
Year: 2021
Research on the Application of Information Data Classification in Employment Guidance for Higher Vocational Students
BIGIOT-EDU PT2
Springer
DOI: 10.1007/978-3-030-87903-7_50

Fang Fang¹

1: Zhejiang Tongji Vocational College of Science and Technology

Abstract

In order to further explore and guide the employment of higher vocational students, the author makes extensive statistics on the decision-making factors of graduates’ employment in recent years. Based on the classification of information data, this paper analyzes the impact of information data classification on the application of graduate employment guidance. The main significance of this study is to improve students’ knowledge structure, improve their comprehensive quality and social competitiveness.

Keywords: Information data classification Higher vocational students Application research

Published: 2021-10-18
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-87903-7_50