自动化专业人工智能类课程教学内容整合与教学方法革新研究  

Teaching Content Integration and Teaching Method Innovation of Artificial Intelligence Courses for Automation Majors

作　　者：王锴 栾小丽[1] 刘成林[1] Wang Kai;Luan Xiaoli;Liu Chenglin(School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China)

机构地区：[1]江南大学物联网工程学院,江苏无锡214122

出　　处：《无锡商业职业技术学院学报》2023年第3期108-112,共5页Journal of Wuxi Vocational Institute of Commerce

基　　金：江南大学本科教育教学改革研究项目“自动化专业人工智能类课程教学创新研究与实践”(JG2021170)。

摘　　要：人工智能技术的发展对自动化等学科产生了深远的影响。将人工智能技术融入自动化专业人才培养之中是新课程教学改革的必然趋势。针对当前存在的问题以及人才培养变革的要求,从教学内容整合与教学方法革新的角度,论析自动化专业人工智能类课程内容整合的思路,并提出课程教学方式革新的重点,即基于问题导向的启发式理论教学方法创新、基于多元需求的应用型实验教学方法创新、过程与结果并重的考核反馈机制完善。The development of artificial intelligence technology has had a profound impact on automation and many other disciplines.It is an inevitable trend of the new curriculum teaching reform to integrate artificial intelligence technology into the cultivation of automation majors.In view of the current problems and the reform requirements of talent training,from the perspective of teaching content integration and method innovation,this paper discusses and analyzes the idea of content integration of artificial intelligence courses for automation majors,and puts forward the key points of curriculum teaching method innovation,i.e.problem-oriented heuristic theory teaching method innovation,application-oriented experimental teaching method innovation based on multiple needs,and improved assessment and feedback mechanism based on both process and results.

关 键 词：自动化专业 人工智能 理论教学 实验教学 考核机制 

分 类 号：G642[文化科学—高等教育学]