Abstract
Improving the intelligence of teaching environment and making the multimedia teaching equipment has become a major concern of the colleges and universities. To this end, the design of Internet of Things (IoT) technology based wisdom of higher education platform is of great interest. Designing the structure of online management platform for college education and realizing the functions of examination result inquiry, online teaching, and attendance management have gained more importance in the educational research. The wisdom classroom is the key structure of the wisdom education platform. A smart classroom architecture based on IoT technology is designed, which connects with traditional network facilities through the IoT gateway. Different layers of the architectures have been designed and implemented. The proposed platform tests results and shows that the intelligent education platform can effectively control classroom utilization and has high throughput, low application latency, and good practicability.
Highlights
With the rapid development of technology, traditional teaching methods cannot meet the needs of modern teaching technology, and some great limitations appeared in multimedia classroom: learners cannot participate in the learning process, demonstrating that teaching activities lead to cognitive overload [1]. erefore, it is urgent to create a new classroom environment that is suitable for individual learning and interactive teaching. e mobile Internet, cloud computing, big data, Internet of ings, and other advanced technologies and equipment are made full use of to improve the learning environment and build an intelligent teaching system, which has become the embodiment of this learning trend at present [2]
The existence of a large number of educational resources has led to serious problems of scattered resources and low-level redundant construction in the construction of education application platforms
Education informatization has made certain achievements in network environment and hardware construction, it has not yet achieved intelligent services under big data, resulting in the unbalanced development of the construction of education platforms and the inability to provide one-stop online services for teachers, administrators, and students, which has become an important difficulty in affecting education informatization
Summary
With the rapid development of technology, traditional teaching methods cannot meet the needs of modern teaching technology, and some great limitations appeared in multimedia classroom: learners cannot participate in the learning process, demonstrating that teaching activities lead to cognitive overload [1]. erefore, it is urgent to create a new classroom environment that is suitable for individual learning and interactive teaching. e mobile Internet, cloud computing, big data, Internet of ings, and other advanced technologies and equipment are made full use of to improve the learning environment and build an intelligent teaching system, which has become the embodiment of this learning trend at present [2]. In [6], in order to realize the one-stop online service in the process of education, an intelligent education platform including data resource database, big data analysis layer, intelligent education information cloud service layer, application service layer, and presentation layer is designed based on big data analysis technology. Information analysis and processing can be divided into two aspects: one is to use the equipment based on the Internet of ings technology to automatically recognize the learner’s individual, voice, character, and so forth and its general process includes the collection of sample data, digitized processing of information, preprocessing, extraction of data characteristics, comparison with the preset standard mode, classification recognition, and so forth [11]. E intelligent teaching platform can capture the learner’s learning behavior information in real time through various sensor devices connected by the Internet of ings and collect the statistical data and give immediate feedback after the platform analysis and processing. E infrastructure layer of the platform integrates the storage devices, network facilities, computers, servers, and
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