基于任务驱动的“人工智能”课程教学模式研究  

Research on task-based teaching mode of“artificial intelligence”course

作　　者：张涛 ZHANG Tao(Jiangsu Open University,Nanjing 210000,China)

机构地区：[1]江苏开放大学,南京210000

出　　处：《计算机应用文摘》2025年第8期53-56,共4页

摘　　要：随着人工智能技术在各领域的广泛应用,“人工智能”课程在教育中的地位不断提升,逐渐成为高校计算机专业的核心课程。传统的“人工智能”课程教学模式侧重于理论知识的传授,往往忽视了实际应用能力的培养。基于任务驱动的“人工智能”课程教学模式,通过设计真实的任务情境,促使学生在解决实际问题的过程中掌握人工智能的核心技能。文章探讨了任务驱动教学法在“人工智能”课程中的应用,强调以学生为主体、教师为引导,鼓励学生通过自主探索和团队合作,提升其问题解决能力和实践水平。With the widespread application of artificial intelligence technology in various fields,the status of“artificial intelligence”courses in education continues to rise,gradually becoming a core course for computer majors in universities.The traditional teaching mode of“artificial intelligence”courses focuses on imparting theoretical knowledge,often neglecting the cultivation of practical application abilities.The task driven teaching mode of“artificial intelligence”course promotes students to master the core skills of artificial intelligence in solving practical problems by designing real task scenarios.The article explores the application of task driven teaching method in the course of“artificial intelligence”,emphasizing that students are the main body and teachers are the guide,encouraging students to improve their problem-solving ability and practical level through independent exploration and teamwork.

关 键 词：任务驱动 人工智能课程 教学模式 协作学习 效果评价 

分 类 号：G434[文化科学—教育学]