摘要
大语言模型等颠覆性智能技术正在推进新质生产力的快速发展和形成,对传统知识驱动型教学模式产生了极大冲击,也对高校人才培养的能力目标提出了新的挑战.该文首先在分析实验教学培养学生新型创新能力的基础上,提出"既定方向、多元路径、弹性目标"的实验课程设计框架,以及培养"智能协同创新"能力的综合性实验设计方法;然后以计算机组成原理课程为例,详述了综合性创新实验案例的设计方法;最后结合实验课程实施情况,分析了学生能力培养成效.
Abstract
[Objective]Disruptive intelligent technologies,such as large language models,are rapidly advancing and reshaping productivity,posing challenges to traditional knowledge-driven teaching models and setting new expectations for talent cultivation in higher education.Integrating these large language models with existing course content and designing new experiments to achieve talent cultivation goals in the intelligent era is crucial.This involves improving students'digital literacy and training various abilities.[Methods]To address these challenges,this study focuses on talent cultivation ability goals in the context of new productivity.The study analyzes the technical characteristics and applications of current large language models,explores the practical skills that students need,and sets corresponding cultivation goals.This study introduces the concept of"intelligent collaborative innovation ability,"which involves cultivating students'innovation skills using artificial intelligence technologies such as large language models.This study discusses how to internalize this ability across different majors and proposes an innovative experimental design method characterized by"predetermined direction,diverse paths,and dynamic results."This method involves setting clear yet flexible goals for real engineering problems and encouraging students to seek solutions from various perspectives using diverse methods.This design tests students'innovative thinking and strengthens their adaptability to uncertainties and challenges.A dynamic result evaluation mechanism ensures comprehensive and fair assessment,promoting deeper thinking and continuous improvement.[Results]To address these challenges,this study begins with a focus on talent cultivation in the era of new productivity.The study analyzes the technical characteristics and applications of current large language models,explores the practical skills that students need,and sets corresponding cultivation goals.This study introduces the concept of"intelligent collaborative innovation ability,"which involves cultivating students'innovation skills using artificial intelligence technologies such as large language models.This study discusses how to internalize this ability across different majors and proposes an innovative experimental design method characterized by"predetermined direction,diverse paths,and dynamic results."This method involves setting clear yet flexible goals for engineering problems and encouraging students to seek solutions from various perspectives using diverse methods.This design tests students'innovative thinking and strengthens their adaptability to uncertainties and challenges.A dynamic result evaluation mechanism ensures comprehensive and fair assessment,promoting deeper thinking and continuous improvement.[Conclusions]The study can transform teaching methods to focus on students and learning,effectively cultivating innovation and autonomous learning abilities.This method allows for personalized cultivation and a hierarchical evaluation.The proposed ability cultivation direction and experimental design method can serve as a reference model for innovative teaching practices across various disciplines when integrated with large language models.
基金项目
教育部高教司实验教学和教学实验室建设研究项目(SYJX2024-025)
天津市高等学校研究生教育改革研究计划项目-重点项目(TJYGZ53)
天津市普通高等学校本科教学改革与质量建设研究计划项目(B231005505)
维普
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