摘要
通过结合大数据智能技术、跨媒体智能技术、混合增强智能技术、自主智能系统等新一代人工智能技术,提出新一代人工智能技术支撑下的遥感专业课程教学方式变革与实践框架,使得学生不再局限于教科书、多媒体教学和常规课程实验,将虚拟运行遥感系统与工程实践流程融合于高等教育遥感专业课堂教学中,极大地扩展学生的思路和对遥感学科的认识,提高学生对本遥感科学与技术专业课程的学习兴趣和增加课程的互动性。
By combining new generation Artificial Intelligence technologies such as big data intelligence,cross-media intelligence,mixed-enhanced intelligence,and autonomous intelligent systems,a new framework for transforming and practicing remote sensing course teaching methods supported by Artificial Intelligence technology is proposed.This framework enables students to go beyond textbooks,multimedia teaching,and conventional course experiments,integrating virtual operation of remote sensing systems and engineering practice processes into higher education remote sensing classroom teaching.This greatly expands students’thinking and understanding of remote sensing disciplines,enhances students’interest in learning this remote sensing science and technology course,and increases the interactivity of the course.
作者
张广运
张荣庭
Zhang Guangyun;Zhang Rongting(School of Geomatics Science and Technology,Nanjing Tech University,Nanjing Jiansu 211816,China)
出处
《山西建筑》
2023年第21期183-187,共5页
Shanxi Architecture
基金
国家自然科学基金(41601365)。
关键词
新一代人工智能
遥感科学与技术
高校人才培养
教育改革
new generation Artificial Intelligence
remote sensing science and technology
talent cultivation in universities
education reform
