Suppr超能文献

深度学习在物联网与模糊控制背景下智能课堂教学模式创新中的作用

The role of deep learning in the innovation of smart classroom teaching mode under the background of internet of things and fuzzy control.

作者信息

Hu Xiaoyan

机构信息

Nantong Normal College, Nantong, 226000, China.

出版信息

Heliyon. 2023 Jul 25;9(8):e18594. doi: 10.1016/j.heliyon.2023.e18594. eCollection 2023 Aug.

Abstract

Electronic components are rapidly updated in the context of expanding application requirements, and communication protocols used in combination with various electronic devices are also emerging. On this basis, IoT technology has developed a variety of sensor devices and gateways, which are widely used in cities. In the field of wisdom, applying IoT technology to classrooms can effectively improve the deficiencies of traditional teaching models. Fuzzy control theory is usually based on fuzzy sets in mathematics, and is combined with neural network, genetic and probability algorithms to form a calculation method. Fuzzy calculation has the ability to simplify the system input of a variety of complex variables, and its applications in the field of education are mainly: provide evaluation of teachers' teaching effectiveness. The advancement of science and technology has promoted the change and updating of the teaching mode. With the continuous advancement of basic education curriculum reform and the continuous deepening of classroom teaching reform, classroom teaching is also in urgent need of reform, from traditional classrooms to smart classrooms. Smart classrooms combine advanced technology with teachers' teaching. Through the dynamic data, the analysis instantly understands the student's learning situation, and then integrates it into education and teaching in a targeted manner. This paper conducts a questionnaire survey on the current situation of smart classroom teaching, and summarizes the current teaching problems. Then, combining the Internet of Things, fuzzy control and deep learning technology, from the two aspects of school teachers and students, it is proposed for smart classroom to promote students' learning effect. With its novel and new-style teaching advantages, smart classroom has gradually entered the public's vision and gained the attention and support of the majority of educators. Taking Grand Wisdom Classroom as an example, it uses the "Internet +" way of thinking and the new generation of information technology such as big data and cloud computing to create intelligent and efficient classrooms, realizing the whole process of application before, during and after class, and promoting the development of students' wisdom. Under the mobile Internet model, students and teachers can communicate anytime and anywhere. Combined with the analysis and application of our big data technology, data-based precision teaching becomes possible. In a real sense, learning before teaching can be realized and teaching can be determined by learning.

摘要

在应用需求不断扩大的背景下,电子元件迅速更新,与各种电子设备结合使用的通信协议也不断涌现。在此基础上,物联网技术开发了多种传感器设备和网关,并在城市中得到广泛应用。在智慧领域,将物联网技术应用于课堂可以有效改善传统教学模式的不足。模糊控制理论通常基于数学中的模糊集,并与神经网络、遗传算法和概率算法相结合,形成一种计算方法。模糊计算能够简化各种复杂变量的系统输入,其在教育领域的应用主要包括:对教师教学效果进行评估。科技的进步推动了教学模式的变革与更新。随着基础教育课程改革的不断推进以及课堂教学改革的不断深入,课堂教学也迫切需要改革,从传统课堂向智慧课堂转变。智慧课堂将先进技术与教师教学相结合。通过动态数据,即时分析了解学生的学习情况,然后有针对性地将其融入教育教学中。本文对智慧课堂教学现状进行问卷调查,并总结当前教学存在的问题。然后,结合物联网、模糊控制和深度学习技术,从学校教师和学生两个方面,提出促进智慧课堂提升学生学习效果的建议。智慧课堂凭借其新颖的教学优势,逐渐进入公众视野,获得了广大教育工作者的关注与支持。以鸿合智慧课堂为例,它采用“互联网 +”思维方式以及大数据、云计算等新一代信息技术打造智能高效课堂,实现课前、课中、课后全过程应用,促进学生智慧发展。在移动互联网模式下,学生和教师可以随时随地进行交流。结合我们大数据技术的分析与应用,基于数据的精准教学成为可能。真正实现以学定教,先学后教。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a98/10415824/82613e363157/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验