基于教育大数据的人力资源管理智能化转型：理论框架与实践困境
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刘雪松
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韩国东新大学，韩国，58245
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摘要：随着教育信息化 2.0 时代的到来，教育大数据为人力资源管理智能化转型提供了技术基座与数据支撑。本文基于数据驱动决策理论与资源基础理论，构建“数据采集分析建模应用落地”的人力资源管理智能化转型理论框架，剖析教育大数据在人力资源规划、招聘配置、培训开发、绩效管理等模块的应用场景。结合实践案例，探讨转型过程中面临的数据质量参差、技术适配不足、隐私保护薄弱、人文价值失衡等核心困境，并提出针对性优化方向。研究旨在为教育机构借助教育大数据实现人力资源管理升级提供理论参考与实践指引。
关健词：教育大数据；人力资源管理；智能化转型；理论框架；实践困境
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Intelligent Transformation of Human Resource Management Basedon Education Big Data: Theoretical Framework and Practical Challenges
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Xuesong Liu
Dongseon University, South Korea, 58245
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Abstract: With the arrival of the Education Informatization 2.0 era, education big data provides a technological foundation and data support for the intelligent transformation of human resource management. This article is based on data-driven decision-making theory and resource-based theory, and constructs a theoretical framework for the intelligent transformation of human resource management through "data collection, analysis, modeling, and application implementation". It analyzes the application scenarios of education big data in modules such as human resource planning, recruitment and configuration, training and development, and performance management. Based on practical cases, explore the core challenges faced during the transformation process, such as uneven data quality, insufficient technological adaptation, weak privacy protection, and imbalanced humanistic values, and propose targeted optimization directions. The research aims to provide theoretical references and practical guidance for educational institutions to upgrade their human resource management through the use of educational big data.
Keywords : education big data; Human resource management; Intelligent transformation; Theoretical framework; Practicaldilemma
参考文献
[1] 维克托·迈尔舍恩伯格.大数据时代[M]. 杭州：浙江人民出版社，2020.
[2] 陈春花. 数字化时代的组织管理[M]. 北京：机械工业出版社，2021.
[3] 孙彦宝. 教育大数据的伦理风险与治理[J]. 高等教育研究，2022（2）：34-40.
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