摘要
多媒体教室是现代教育最重要的组成部分之一,我国多媒体教室的信息化建设已经进入了网络化集中控制阶段,发展较为成熟,而人工智能的应用仍在探索阶段。随着目前主流多媒体教室的发展,设备维护问题、人机交互问题、资源利用问题日益凸显。针对在管理多媒体教室的实践过程中发现的上述问题,提出了人工智能在多媒体教室管理系统的应用设计应该具有故障检测、智能诊断、智能识别等功能。人工智能化设计要基于人工智能的深度学习算法实现系统自主学习,这样才能提高多媒体教室管理水平,节约资源。
Multimedia classroom is one of the most important components of modern education. The information construction of multimedia classroom in our country has entered the stage of network centralized control, and its development is relatively mature, while the application of artificial intelligence is still in the exploratory stage. With the development of the mainstream multimedia classroom, the problems of equipment maintenance, human-computer interaction and resource utilization have become increasingly prominent. In view of the above problems found in the practice of managing multimedia classroom, this paper puts forward that the practical design of artificial intelligence in multimedia classroom system should involve the functions of fault detect, intelligent diagnosis and intelligent identification. The design should be based on deep learning algorithm to realize the system self-learning, which can improve the management level of the multimedia classroom and save resources.
引文
[1]李淑春.高校多媒体教室运行中出现的问题及对策[J].实验技术与管理,2007,24(6):88-90.
[2]邢春英.多媒体教室的人工智能化设计[J].甘肃科技,2012(4):22-24.