面向机器视觉类课程的精准教学研究  

Research on Precision Teaching for Machine Vision Courses

作　　者：潘祥 王骏[1] 晏涛 邓赵红[1] 詹千熠 蒋亦樟[1] Pan Xiang;Wang Jun;Yan Tao;Deng Zhaohong;Zhan Qianyi;Jiang Yizhang

机构地区：[1]江南大学数字媒体学院

出　　处：《科教文汇》2020年第3期89-90,共2页Journal of Science and Education

基　　金：2018年江南大学本科教育教学改革研究重点项目“面向数字媒体技术人才培养的机器视觉类课程精准教学研究”（项目编号：JG2017040）

摘　　要：随着人工智能、机器学习技术的发展,机器视觉类课程已作为最适合数字媒体技术专业的核心专业课程被编入本科教学大纲。从当前基于传统教学模式的机器视觉类课程的教学现状来看,存在教学内容分散、内容严重重复交叉,课堂教学与课程实践脱节等问题。本文将大数据精准教学的相关理念和方法引入数据媒体技术专业的机器视觉类课程的教学过程中,探讨构建面向数字媒体技术专业的机器视觉类课程的精准教学模式。With the development of artificial intelligence and machine learning technology,machine vision courses have been incorporated into the undergraduate syllabus as the core professional courses most suitable for digital media technology majors.Judging from the current teaching status of machine vision courses based on the traditional teaching mode,there are problems such as scattered teaching content,severely overlapping content,and disjointed classroom teaching and curriculum practice.This paper introduces the relevant concepts and methods of big data precision teaching into the teaching process of machine vision courses for data media technology majors,and discusses the construction of precision teaching modes for machine vision courses for digital media technology majors.

关 键 词：机器视觉 数字媒体技术 精准教学 大数据技术 

分 类 号：G642[文化科学—高等教育学]