生成式人工智能视域下高校文科教学的伴生性风险与防范  

Associated Risks and Its Prevention of Liberal Arts Teaching in Universities from Perspective of Generative Artificial Intelligence

作　　者：金华[1] 王汉英 JIN Hua;WANG Han-ying(Jiangsu Normal University,Xuzhou 221100,China)

机构地区：[1]江苏师范大学,江苏徐州221100

出　　处：《黑龙江高教研究》2025年第5期1-6,共6页Heilongjiang Researches on Higher Education

基　　金：2024年国家社会科学基金青年项目“生成式人工智能对知识密集型行业的就业影响及风险防范研究”(编号:24CGL121)。

摘　　要：伴随人工智能的迅猛发展,生成式人工智能(AIGC)成为驱动教育变革的革命性力量。尤其是在高校文科教学中,AIGC凭借其个性化的学习路径、敏捷的资源整合能力、多模态的场景再现,在教学主体能力重塑、教学内容适配和教学效能提升方面表现出独特优势,显著提高知识生产的速度与质量。AIGC在推动教学过程由人师-机师、人思-机输、综评-机评的切换过程中,也面临着高等教育主权削弱、主体知识思维堕化和人才培养异化等伴生性风险。面对这些挑战,高校文科教育教学亟须进行风险防范与前置治理。第一,重塑文科培养目标,调整文科培养方案;第二,优化文科生核心素养,重构培养体系;第三,推进教师角色转型,引领人机协同教学新范式;第四,构建文科培养的多维评价体系,保障教学质量。在智能革命时代,高校文科教学既要积极探索与AIGC融合的新路径,又要警惕AIGC过度依赖对教育本质的侵蚀。With the rapid development of artificial intelligence,generative artificial intelligence(AIGC)has become a revolutionary force driving educational change.Especially in the teaching of humanities in universities,AIGC has shown unique advantages in the reshaping ofthe teaching subject capabilities,the adapting of teaching content,and the enhancement of teaching efficiency through its personalized learning path,agile resource integration ability,and multimodal scene reproduction,significantly improving the speed and quality of knowledge production.However,AIGC also faces accompanying risks such as the weakening of higher education sovereignty the degeneration of subject knowledge thinking,and the alienation of talent cultivation in the process of promoting the transition of teaching process from human teacher pilot,human thought machine input,and comprehensive evaluation machine evaluation.Faced with these challenges,it is urgent for liberal arts education and teaching in universities to carry out risk prevention and front-end governance.Firstly,reshape the objectives of humanities education and adjust the curriculum for humanities education.Secondly,optimize the core competencies of humanities students and reconstruct the training system.Thirdly,promote the transformation of teachers'roles and lead the new paradigm of human-machine collaborative teaching.Fourthly,establish a multidimensional evaluation mechanism to ensure the quality of teaching.In the era of intelligent revolution,liberal arts teaching in universities should actively explore new paths for integration with AIGC,while also being vigilant about the erosion of the essence of education caused by excessive dependence on AIGC.

关 键 词：生成式人工智能 高校文科教学 伴生性风险 防范 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]