【作者】 江敏； 张曌璐； 黄晓涛；

【Author】 Jiang Min;Zhang Zhaolu;Huang Xiaotao;School of Software Engineering,Huazhong University of Science and Technology;Teaching and Research Suzhou New Oriental;

【机构】 华中科技大学软件学院； 苏州新东方教学研究部；

【摘要】 随着人工智能技术的飞速发展,非计算机、信息类专业学生掌握人工智能相关知识和技能,成为适应时代发展的必然要求。本文以非计算机、信息类专业开设"人工智能与大模型导论"通识课程为研究对象,深入探讨课程开设的背景与意义,并且从课程定位、教学内容设计、教学方法创新、实践环节优化及教学效果评估等方面进行实践探索。研究表明,通过"去技术化"教学内容重构、"场景化+项目式"教学融合、"低代码+跨学科案例"实践设计,可有效降低学生学习门槛,激发学生兴趣,提升学生AI认知能力与应用思维。可为高校非计算机、信息类专业开设AI通识教育课程提供参考。更多还原

【Abstract】 In light of the actual teaching situation of offering the general education course "Introduction to Artificial Intelligence and Large Models" for non-computing majors, this analysis delves into the background and course orientation of its establishment. It proposes several teaching innovations, including the reconstruction of "de-technicalized" teaching content, the integration of "scenario-based + project-based" teaching approaches, and the adoption of "low-code + interdisciplinary case" teaching methods. Practice has demonstrated that these teaching innovations can effectively lower the learning threshold for students, stimulate their interest, and enhance their AI cognitive abilities and application thinking. This can serve as a reference for universities aiming to offer AI general education courses for non-computing majors.更多还原