融入KNN算法的二维数组教学案例设计  

Teaching case design of two-dimensional array integrating KNN algorithm

作　　者：张红霞[1] 高荣[1] 徐辉[1] 柯琦[1] Zhang Hongxia;Gao Rong;Xu Hui;Ke Qi(School of Big Data and Artificial Intelligence,Guangxi University of Finance and Economics,Nanning,Guangxi 530003,China)

机构地区：[1]广西财经学院大数据与人工智能学院,广西南宁530003

出　　处：《计算机时代》2023年第6期142-144,148,共4页Computer Era

基　　金：广西高等教育本科教学改革工程项目“一流专业背景下财经人才工程创造力培养的探索和实践”(2022JGA316)。

摘　　要：为了让计算机专业学生在专业基础课中尽早接触人工智能中的一些概念和算法,激发学生的学习兴趣,设计了一个融入K-近邻算法(K-Nearest Neighbor,KNN)的二维数组教学案例,并对案例教学实施过程、实践任务分解、案例运用效果等方面进行了阐述。实践结果表明,使用该案例进行教学有利于提高课程教学质量。In order to expose computer major students to some concepts and algorithms in artificial intelligence as early as possible in their professional foundation courses and to stimulate their learning interest,a two-dimensional array teaching case integrating KNN algorithm is designed,and the implementation process of case teaching,practical task decomposition and case application effect are described.The practice results show that the use of the teaching case is conducive to improving the quality of curriculum teaching.

关 键 词：二维数组 KNN 教学案例 人工智能 

分 类 号：G420[文化科学—课程与教学论]