低代码赋能：文科院校大学生AI大模型素养 分层教学探索

Low-Code Empowerment: Layered Teaching Reform of AI Literacy for Liberal Arts College Students

摘要: AI大模型已经成为新一代操作系统级工具，是所有大学生必备的数字素养。计算机基础课是提高学生AI能力最适合的入口。本文作者提出用AI大模型改革文科院校计算机基础教育课堂，具体做法是设计一系列的实验，包含各种AI辅助生成普法视频，AI生成各种复杂案件分析的小游戏，各种特殊任务的agent，学生通过这些实验不仅提高学生使用大模型的能力，而且可以结合自己专业与兴趣尝试很多项目，成熟的产品可以直接上线运营。通过在计算机基础中融入AI教育，让每个学生掌握用AI解决学习、生活、职业问题的能力，形成“人机协同”的核心素养，为未来AI + 专业、AI + 职业打下基础。

Abstract: AI large models have emerged as a new generation of operating system-level tools, constituting a necessary digital literacy for every university student. The basic computer science course in college serves as the most appropriate gateway for improving students’ AI proficiency. This paper proposes a reform of basic computer education in arts and humanities colleges by integrating large AI models. The specific approach involves designing a series of hands-on experiments, including AI-assisted creation of legal-awareness videos, AI-generated mini-games for analysing complex legal cases, and the development of agents for various specialised tasks. Through these experiments, students not only improve their proficiency in using large models but also gain opportunities to undertake projects aligned with their majors and personal interests; mature outputs can even be directly deployed for operational use. By embedding AI education into the foundational computer curriculum, every student can acquire the capability to apply AI to academic, everyday-life, and career-related challenges, thereby fostering a core competency of “human-machine synergy” and laying a solid foundation for future AI-integrated disciplinary and professional endeavours.