大模型驱动的机器学习实践课程教学改革应用  

Teaching Reform Application Practice of Machine Learning Practice Course Driven by Large Model

作　　者：尹雪妍 钱有程 YIN Xueyan;QIAN Youcheng(School of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China;School of Statistics and Data Science,Nanjing Audit University,Nanjing 211815,China)

机构地区：[1]南京中医药大学人工智能与信息技术学院,江苏南京210023 [2]南京审计大学统计与数据科学学院,江苏南京211815

出　　处：《软件导刊》2025年第3期206-210,共5页Software Guide

基　　金：国家自然科学基金项目(62306152)。

摘　　要：随着机器学习技术迅猛发展,培养具备实践能力的机器学习专业人才成为当前教育领域的一项紧迫任务。大模型技术的广泛应用,为机器学习实践课程培养适应新时代需求的专业人才提供了契机。为此,提出一种基于大模型的机器学习实践课程教学改革方案,致力于打破传统教学模式的束缚,深化学生对机器学习理论的理解,培养具备创新思维和实际应用技能的机器学习专业人才。首先,调整、优化教学内容,使课程更贴近实际应用需求;其次,改革教学方法,以提升学生的学习主动性和实践能;最后,通过实际项目驱动来培养学生的实际应用能力,为培养新工科人才提供参考与借鉴。With the rapid development of machine learning technology,cultivating machine learning professionals with practical abilities has become an urgent task in the current education field.The widespread application of big model technology provides an opportunity for machine learning practical courses to cultivate professional talents that meet the needs of the new era.To this end,a reform plan for machine learning practical course teaching based on large models is proposed,aiming to break the constraints of traditional teaching modes,deepen students'understanding of machine learning theory,and cultivate machine learning professionals with innovative thinking and practical application skills.Firstly,adjust and optimize the teaching content to make the curriculum more closely aligned with practical application needs;Secondly,reform teaching methods to enhance students'learning initiative and practical skills;Finally,by driving practical projects,we aim to cultivate students'practical application abilities,providing reference and inspiration for cultivating new engineering talents.

关 键 词：大模型 机器学习实践课程 教学内容改革 教学方法改革 实践能力 

分 类 号：G642.0[文化科学—高等教育学]