基于平台数据的大学生毕业就业质量评估体系建设研究
DOI:
https://doi.org/10.6938/iie.070312Keywords:
平台数据, 就业质量评估, 大学生就业, 数据挖掘, 高校人才培养Abstract
在高校毕业生数量持续攀升与就业结构性矛盾日益突出的背景下,传统就业质量评估体系在指标设计、数据来源和评估方法等方面暴露出多重局限。本文提出以平台数据为基础,构建科学、动态、可操作的大学生毕业就业质量评估体系。通过梳理国内外评估实践,本文指出当前体系在评价主体单一、指标维度狭窄、数据滞后等方面存在明显不足;平台数据则因其海量、实时、多维的特性,具备提升评估准确性、反映就业趋势与支持动态监测的独特优势。文章设计了涵盖就业率、薪资水平、行业分布、职位类型、职业发展等核心指标的评估结构,提出基于API接口、网络爬虫与数据库系统的多源数据收集与处理路径,并运用层次分析法、因子分析与机器学习等方法,构建精准的评估模型。在此基础上,进一步探讨了评估结果在高校就业指导、人才培养优化与校企合作促进等方面的应用价值,强调数据隐私保护和合规使用的必要性。研究认为,构建基于平台数据的评估体系,是提升高校就业服务质量、推动教育与市场精准对接的重要途径。
Downloads
Published
Issue
Section
License
Copyright (c) 2025 THE AUTHOR(s) & Creative Publishing Co., Limited

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Open Access Statement
Research on Industry-Education Integration is an open-access journal. All articles published in this journal are freely available online immediately upon publication, without any subscription or payment barriers.
This journal operates under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Under this license, users are free to:
- Share – Copy and redistribute the material in any medium or format.
- Adapt – Remix, transform, and build upon the material.
However, the following conditions apply:
- Attribution – Proper credit must be given to the original author(s) and source.
- NonCommercial – The material may not be used for commercial purposes.
- ShareAlike – If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
For more details, please visit Creative Commons License.