<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">VDE</journal-id><journal-title-group><journal-title>Vocational Development and Education</journal-title></journal-title-group><issn>3066-8549</issn><eissn>3066-8557</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/VDE.2026070032</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>数智时代高校辅导员就业指导力重构研究</title><url>https://artdesignp.com/journal/VDE/2/7/10.61369/VDE.2026070032</url><author>李曼蓉</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>2</volume><issue>7</issue><history><date date-type="pub"><published-time>2026-02-13</published-time></date></history><abstract>在数智技术深度融入高等教育的背景下，生成式人工智能为高校就业指导工作赋能的同时也带来挑战。一方面，其有助于提升工作效率、推动模式创新；另一方面，也可能引发&amp;ldquo;概率依赖&amp;rdquo;风险，即师生过度信赖基于算法的预测结果，视其为确定性发展路径，进而抑制职业探索的多样性与学生发展的主体性。本研究旨在揭示&amp;ldquo;概率依赖&amp;rdquo;在就业指导中的具体表征与生成机理，并构建以&amp;ldquo;反思性实践者&amp;rdquo;为核心的辅导员就业指导力模型，推动就业指导从&amp;ldquo;工具赋能&amp;rdquo;向&amp;ldquo;价值理性&amp;rdquo;回归，为相关理论构建与实务改进提供参考。</abstract><keywords>概率依赖,高校辅导员,就业指导力,数智时代,反思性实践</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 董剑桥. 认知卸载还是认知外包：教育数字化转型中的赋能与去智化风险 [J]. 外国语文, 2025, 41 (6): 12-27.[2] 黄友初. 智能时代教师专业发展的现实困境与文化进路[J]. 上海师范大学学报( 哲学社会科学版),2026,55(01):136-143.[3]Dinh L T ,Le D T ,Uwizeyemungu S , et al. Human-Centered Artificial Intelligence in Higher Education: A Framework for Systematic Literature Reviews [J]. Information,2025, 16 (3): 240-240.[4]Laux J . Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act [J]. AI &amp;amp; SOCIETY, 2023, 39 (6): 1-14.[5] Bitton B D ,Hoffmann P C ,Godulla A . Deepfakes in the context of AI inequalities: analysing disparities in knowledge and attitudes [J]. Information, Communication &amp;amp; Society, 2025, 28 (2): 295-315.[6] 吴满意, 杜宝彪. 赋能与坚守：人工智能时代思政教育施教者的角色调适[J]. 马克思主义理论教学与研究,2026, 6 (01): 81-89.[7] 叶浩生, 苏佳佳. 生成式学习：人工智能时代的学习新范式 [J]. 教育研究, 2025, 46 (12): 66-78.[8] 汤倩雯, 曹梅. 生成式人工智能时代学生主体性再定义&amp;mdash;&amp;mdash; 基于后人类主义的思考[J]. 开放教育研究, 2026, 32 (01): 37-44.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
