摘要
推动高校创新创业教育高质量发展是筑牢中国式现代化根基、提升国家创新体系整体效能的重要路径。GenAI凭借其多模态内容生成、跨领域知识整合、情境化推理决策等特性,对高校创新创业教育变革展现强劲潜力。以GenAI为切入点,探讨了GenAI如何革新传统教育体系,赋能高校创新创业教育;分析了GenAI在赋能过程中可能面临的“算法确定性与创新不确定性错位、智能工具理性与教育价值理性冲突、数据质量与隐私保护失衡、内部管理脱嵌与外部系统失灵叠加”等现实梗阻;进而尝试构建一条“技术筑基-教学创新-治理保障-多元协同”的四维协同发展路径,为高校创新创业教育在数智时代转型提供理论支持和实践指导,助力教育强国建设。
The integration of Generative Artificial Intelligence(GenAI)into higher education holds significant potential for transforming innovation and entrepreneurship education.Leveraging its capabilities in multimodal content generation,cross domain knowledge synthesis,and contextual reasoning,GenAI can revolutionize traditional pedagogies and ecosystems.This study examines the specific challenges hindering its effective adoption,including tensions between algorithmic rigidity and the inherent uncertainty of innovation,conflicts between the instrumental logic of AI tools and the value driven aims of education,dilemmas in balancing data utility with privacy,and co existing gaps in internal governance and external regulatory support.To address these obstacles,the study proposes a four pillar implementation framework encompassing technological infrastructure,pedagogical innovation,governance mechanisms,and multi stakeholder collaboration.This framework aims to provide a structured pathway for universities to harness GenAI,thereby fostering a more adaptive and effective innovation and entrepreneurship education system for the digital age.
作者
王璐
罗江华
张玉柳
WANG Lu;LUO Jiang−hua;ZHANG Yu-liu(Xinjiang Normal University,Urumqi 830017,China;Huanghuai University,Zhumadian 463400,China;Southwest University,Chongqing 400715,China)
出处
《黑龙江高教研究》
北大核心
2026年第3期153-160,共8页
Heilongjiang Higher Education Research
基金
2025年度国家自然科学基金项目面上项目“生成式人工智能增强学科教学适应性的人机协同机理与多模态反馈机制研究”(编号:62577046)
2026年度河南省高校人文社会科学一般项目“生成式人工智能赋能河南省本科高校创新创业教育高质量发展的实践路径研究”(编号:2026-ZDJH-351)。
关键词
生成式人工智能
高校创新创业教育
价值意蕴
实践路径
Generative Artificial Intelligence
innovation and entrepreneurship education in universities
value implications
implementation paths
