摘要
生成式人工智能(Generative Artificial Intelligence,GAI)的普及虽提升了大学生的学习效率,但也导致技术依赖与学习动力下降:学生过度依赖GAI,缺乏自主思考能力;传统教育评价体系忽视能力培养,进一步削弱了学习主动性。文章旨在突破“学习内驱动力缺失”与“GAI技术低效使用”的双重困境,通过改革评价标准,鼓励过程性学习;指导学生合理使用GAI工具,培养信息鉴别能力;结合线上线下教学,利用GAI激发兴趣,强化实践检验,进而构建“自我驱动+技术驾驭”的新型学习生态模式。
The popularization of generative artificial intelligence(GAI)has improved the learning efficiency of college students,but it has also led to technology dependence and reduced learning motivation:students overly rely on GAI and lack independent thinking ability;the traditional educational evaluation system ignores ability cultivation,which further weakens learning initiative.Aiming to break through the dual dilemma of“lack of internal driving force for learning”and“inefficient use of GAI technology”,the paper proposes to reform evaluation standards to encourage process-oriented learning;guide students to use GAI tools rationally and cultivate their ability to identify information;integrate online and offline teaching,use GAI to stimulate interest and strengthen practical verification.Through these measures,a new learning ecosystem model of“Self Drive+Technology Mastery”is constructed.
作者
胡壹鸣
史晶荣
HU Yiming;SHI Jingrong(Humanities and Law School,Chengdu University of Technology,Chengdu Sichuan 610059,China)
出处
《信息与电脑》
2025年第19期215-217,共3页
Information & Computer
关键词
自我驱动
新型学习生态模式
生成式人工智能
self drive
new learning ecosystem model
generative artificial intelligence
