人工智能实验课的改进  

Improvements on the Experiments Class of Artificial Intelligence Course

作　　者：饶东宁[1] 蒋志华[2] 苏庆[1] RAO Dong-ning, JIANG Zhi-hua, SU Qing（1.School of Computer, Guangdong University of Technology, Guangzhou 51000, China; 2.Department of Computer Science, School of Information Science and Technology, Jinan University, Guangzhou 51000, China）

机构地区：[1]广东工业大学计算机学院,广东广州510006 [2]暨南大学信息科学与技术学院计算机系,广东广州510632

出　　处：《电脑知识与技术》2015年第7期109-111,共3页Computer Knowledge and Technology

基　　金：2014年度广东省本科高校教学质量与教学改革工程立项建设项目精品资源共享课：人工智能（ZYGX002）,C语言与数据结构类课程群（ZYGX013）;2014年度广东省本科高校教学质量与教学改革工程立项建设项目精品资源共享课视频公开课（MOOC示范课）：数据结构（MCSF003）; 2014年度广东工业大学教学改革推荐项目：计算机软件类专业形式化方法基础教学改革

摘　　要：针对人工智能课程教学过于依赖基于讲义的教学现状,该文首先分析结合基于问题的教学、大班授课小班讨论、实践技能培养等方式方法的意义与可行性,并提出在人工智能课程教学中增加和改进实验课程的观点。与已知的兄弟院校人工智能实验课最明显区别在于如下三点：基于基于问题的教学理念整合实验内容,根据小班讨论的方式改革实验考核方式,结合实践技能培养的目标来更新实验工具。The teaching of artificial intelligence course is too dependent on based on lecture teaching. Therefore, this paper first an- alyzes the significance and feasibility of problem based learning, the big class lecturing and small group discussion method, and the practical skills training approach. Then, it proposed some improvements, in the teaching of artificial intelligence course, to the experiment classes in the artificial intelligence course. Major differences between these improvements and known methods from fraternal colleges lies in the following three points. First, based on the problem based learning, it integrate the content of experi- ment. Second, according to the small classes discussion method, it reforms the examination way of the experiments. Third, com- bined with the practical skills training goal, it updates experimental tools.

关 键 词：人工智能 实验课 基于问题的教学 大班授课小班讨论 实践技能培养 

分 类 号：G642[文化科学—高等教育学;文化科学—教育学]