AI时代文科实验教学的转型路径与实践探索

Transformation Path and Practical Exploration of Liberal Arts Experimental Teaching in the AI Era

  • 摘要: 人工智能技术的快速发展推动高等教育深刻变革。文科实验教学面临转型压力与创新机遇。系统分析AI时代文科实验教学的现实困境,在对困境进行更加全面、系统总结的基础上提出“虚实融合、数据驱动、开放协同”三维转型框架。并通过框图形式清晰呈现三维框架的逻辑关系与作用机制,通过构建智能实验平台、创新人机协同教学模式、重塑评价体系等路径,探索向探究性、创新性实验的转变。两年实践表明,AI技术能拓展教学深度和广度,提升学生批判性思维和数字素养,支撑新文科建设。同时需警惕技术至上主义,坚守人文教育本质,实现技术赋能与人文育人相统一。

     

    Abstract: With the rapid development of artificial intelligence technology, higher education is undergoing profound transformation. Liberal arts experimental teaching faces unprecedented pressures and innovation opportunities. this paper systematically analyzes the practical challenges of liberal arts experimental teaching in the AI era and proposes a three-dimensional transformation framework of “virtual-reality integration, data-driven approach, and open collaboration”. Through constructing an intelligent experimental platform, innovating human-machine collaborative teaching models, and rebuilding the evaluation system, this study explores the transition toward exploratory and innovative experiments. Two years of practice shows that AI technology can expand the depth and breadth of teaching, enhance students' critical thinking and digital literacy, and support the construction of new liberal arts. Meanwhile, we must remain vigilant against technologism, adhere to the essence of humanities education, and achieve the organic unity of technology empowerment and humanities cultivation.

     

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