【作者】 覃希； 陈燕； 姚怡； 唐春艳；

【Author】 Qin Xi;Chen Yan;Yao Yi;Tang Chunyan;School of Computer and Electronic Information Guangxi University;

【机构】 广西大学计算机与电子信息学院；

【摘要】 在"四新"建设与教育数字化双重战略实施背景下,人工智能(AI)通识教育已成为培养复合型新质人才的关键载体。本文针对当前高校人工智能通识教育存在传统实验环境难以支撑课程教学需求,课堂教学缺乏动态化评估反馈机制等问题,提出"教评双驱"的教学实验平台建设方案。即以广西大学公共课学习中心为例,在现有的云机房教学环境基础上,引入AI通识教育实训平台和AI课堂质量评测系统。其中,AI通识教育实训平台融合了跨学科可视化实验、真实场景讨论与智能评析、大模型智能考官及知识图谱应用,构建"基础认知-项目实战-创新应用"的梯度化、多层次实践教学体系;借助AI课堂质量评测系统建立"诊断-反馈-优化"的动态评估闭环。本文以"技术赋能"的方式构建新型教学场域,探索形成可复制推广的人工智能通识教育数字化转型范式,为高校新工科建设与跨学科人才培养提供实践参考。更多还原

【Abstract】 Under the dual strategic implementation background of the "Four New" initiatives and educational digitalization,artificial intelligence(AI) general education has become a crucial vehicle for cultivating interdisciplinary new-quality talents.This paper addresses current issues in AI general education at universities,including the inadequacy of traditional experimental environments to support teaching demands and the lack of dynamic assessment feedback mechanisms in classroom instruction.We propose a "Dual-Driven Teaching and Evaluation" experimental teaching platform construction scheme.Using the Public Course Learning Center of Guangxi University as an example,we build upon existing cloud-based computer lab by introducing an AI general education training platform and an AI classroom quality evaluation system.This establishes a hierarchical practical teaching system featuring "foundational cognition-project practice-innovative application" gradients and a dynamic assessment loop of "diagnosis-feedback-optimization".Through technology-enabled approaches,this study constructs a novel teaching ecosystem and explores replicable digital transformation paradigms for AI general education,providing practical references for new engineering education initiatives and interdisciplinary talent cultivation in higher education institutions.更多还原