基于平台数据的大学生毕业就业质量评估体系建设研究  

Constructing a Graduate Employment Quality Assessment System Based on Platform Data

作　　者：朱今一[1] Jinyi ZHU(Heilongjiang Polytechnic)

机构地区：[1]黑龙江职业学院

出　　处：《产教融合研究》2025年第3期110-119,共10页

基　　金：黑龙江省教育科学“十四五”规划专项重点课题(ZJZ1424008)。

摘　　要：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。In the context of rising numbers of university graduates and increasingly severe structural imbalances in employment,traditional systems for assessing graduate employment quality face significant limitations in terms of indicator design,data sources,and evaluation methods.This paper proposes the construction of a dynamic,data-driven assessment system based on employment plat form data to more accurately reflect the employment quality of university graduates.By reviewing domestic and international evaluation practices,the paper identifies existing shortcomings,including the limited diversity of evaluation agents,narrow indicator dimensions,and outdated data.Employment platform data,characterized by its volume,real-time updates,and multidimensional coverage,offers unique advantages in improving accuracy,tracking employment trends,and supporting dynamic monitoring.The study develops a core indicator framework encompassing employment rate,salary level,industry distribution,job type,and career development potential.It outlines technical approaches for multi-source data acquisition and processing using APIs,web scraping,and database systems.Additionally,the research applies analytical techniques such as Analytic Hierarchy Process(AHP),factor analysis,and machine learning to construct predictive and comprehensive models.The paper further discusses the practical application of evaluation results in enhancing career guidance,optimizing curriculum design,and promoting university-industry collaboration.Data privacy protection and legal compliance are emphasized throughout.The study concludes that building a platform-data-based assessment system is a strategic tool for improving employment outcomes and aligning higher education more closely with labor market needs.

关 键 词：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 

分 类 号：G647[文化科学—高等教育学]