数心融合视域下AI数智就业自助终端的构建逻辑、功能体系与应用价值研究
Research on the Construction Logic, Functional System, and Application Value of AI Digital Intelligent Employment Self-Service Terminals from the Perspective of Digital-Psychological Integration
DOI: 10.12677/isl.2026.104118, PDF,    科研立项经费支持
作者: 时 勘*, 唐伟杰*, 焦松明, 夏国荣, 陈 泳：温州大学生态文明与环境治理实验室，浙江 温州；温州大学温州模式发展研究院，浙江 温州；王译锋：温州大学生态文明与环境治理实验室，浙江 温州；人资易(广州)数字技术服务有限公司，广东 广州；谭 辉：人资易(广州)数字技术服务有限公司，广东 广州
关键词: 数心融合；AI数智就业；自助终端；职业心理测量；高校就业指导；智慧就业；胜任特征；Digital-Psychological Integration； AI Digital Intelligent Employment； Self-Service Terminal； Career Psychological Measurement； College Career Guidance； Smart Employment； Competency
摘要: 当下高校传统就业指导工作，一直有着就业指导精准度不够、可调配的服务资源有限、持续性就业帮扶效果薄弱等诸多现实问题，本文依托“数心融合”的核心理念，把择业易AI数智就业自助终端当作主要研究对象，对这一终端的构建逻辑、功能体系以及应用价值展开了全面且系统地解读。研究借助核心胜任特征理论作为支撑，把职业心理测量手段与人工智能评估技术相互整合起来，搭建起包含测评、分析、训练、反馈全流程的一体化智能就业服务体系，整个体系覆盖了职业心理测评、AI岗位精准匹配、个人简历优化、仿真模拟面试、情绪状态评估等多个核心模块，能把传统以经验判断为主的职业指导模式，慢慢转向数据驱动的指导模式，也能让单一静态的测评模式，升级为动态化、多维度的综合评估模式。从实际应用效果来看，这款自助终端可以切实提高大学生对自身职业的认知水平，也能有效增强大学生的求职竞争能力，缓解高校在就业指导工作上的资源紧缺压力，助力高校就业服务朝着线上线下深度融合、覆盖全过程职业发展支持的方向完成转型。文章还针对实际运行中会遇到的数据伦理规范、算法公平性偏差等现实难题展开了深入探讨，同时对数字人、VR等新兴技术赋能下，终端往沉浸式、智能化方向升级的发展路径做出了展望，也能为高校全方位搭建智慧就业服务体系，提供对应的理论支撑与可行的实践参考。
Abstract: Traditional career guidance in colleges and universities currently faces numerous practical challenges, such as insufficient precision in job-seeking guidance, limited deployable service resources, and weak sustained employment support. Based on the core concept of “digital-psychological integration”, this paper takes the Zeyeyi AI digital intelligent employment self-service terminal as the main research object, and provides a comprehensive and systematic interpretation of its construction logic, functional system, and application value. Guided by the core competency theory, the study integrates career psychological measurement tools with artificial intelligence assessment technologies to establish an integrated intelligent employment service system covering the full process of assessment, analysis, training, and feedback. The system incorporates multiple core modules, including career psychological assessment, AI-based precise job matching, personal resume optimization, simulated interview training, and emotional state evaluation. It gradually shifts the traditional experience-based career guidance model to a data-driven model, and upgrades the single static assessment model to a dynamic, multi-dimensional comprehensive evaluation model. In terms of practical application, this self-service terminal can effectively enhance college students’ career self-awareness, strengthen their job-seeking competitiveness, alleviate the resource pressure on university career guidance services, and facilitate the transformation of university employment services toward deep online-offline integration and full-process career development support. The paper also discusses practical challenges encountered in actual operation, such as data ethics and algorithmic fairness bias, and provides prospects for the terminal’s future development toward immersive and intelligent upgrades enabled by emerging technologies such as digital humans and VR. This research offers theoretical support and practical references for the comprehensive construction of smart employment service systems in colleges and universities.
文章引用：时勘, 唐伟杰, 王译锋, 谭辉, 焦松明, 夏国荣, 陈泳. 数心融合视域下AI数智就业自助终端的构建逻辑、功能体系与应用价值研究[J]. 交叉科学快报, 2026, 10(4): 1000-1008. https://doi.org/10.12677/isl.2026.104118

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