摘要
随着人工智能技术的快速发展,市场对具备扎实专业知识和实践技能的人才需求日益增长。职业本科教育作为培养高层次技术技能人才的重要途径,面临着教学改革的迫切需求。文章以数据结构课程为例,深入探讨了人工智能背景下职业本科教学改革的策略,分析了当前职业本科数据结构课程教学存在的问题,从教学目标、教学内容、教学方法、考核评价等方面提出具体的改革措施,并阐述了改革的实施效果与启示,旨在为职业本科教学改革提供有益的参考,提升人才培养质量,以适应人工智能时代的发展需求。
With the rapid development of artificial intelligence technology,the demand for talents with solid professional knowledge and practical skills is growing.As an important way to train high-level technical talents,vocational undergraduate education faces the urgent need of teaching reform.The paper takes the data structure course as an example to deeply discuss the strategy of vocational undergraduate teaching reform under the background of artificial intelligence.The paper analyzes the existing problems in the teaching of data structure for vocational undergraduate courses,proposes specific reform measures from the aspects of teaching objectives,teaching content,teaching methods,assessment and evaluation,and expounds the implementation effects and enlightenment of the reform,aiming at providing useful references for vocational undergraduate teaching reform and improving the quality of talent training to meet the development needs of the era of artificial intelligence.
作者
李春媚
LI Chunmei(Hunan Automotive Engineering Vocational University,Zhuzhou Hunan 412000,China)
出处
《信息与电脑》
2025年第2期245-247,共3页
Information & Computer
关键词
人工智能
职业
教学改革
数据结构
artificial intelligence
vocational
teaching reform
data structure
作者简介
李春媚,女,硕士,高级讲师。研究方向:职业本科教学改革。
