Online English Teaching System Based on Internet of Things Technology

Tao, Hui

doi:10.1155/2022/7748067

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wei et al [34] applied cloud storage technologies and methods to the construction of integrated online educational resources, which effectively saves educational resources for schools, enhances the utilization of online educational resources and thereby improves the teaching quality of subjects. Hui Tao [35] proposed an online English teaching system approach based on IoT technology. The author studied the English SPOC (Small Private Online Course) teaching mode, constructed a multimedia teaching system based on IoT technology, improved the teaching system and enhanced and learned the teaching mode, resulting in an improvement in the quality of English teaching.…”

Section: Related Workmentioning

confidence: 99%

Secure Application of MIoT: Privacy-Preserving Solution for Online English Education Platforms

Cui

2023

Applied Sciences

View full text Add to dashboard Cite

With the increasing demand for higher-quality services, online English education platforms have gained significant attention. However, practical application of the Mobile Internet of Things (MIoT) still faces various challenges, including communication security, availability, scalability, etc. These challenges directly impact the utilization of online English education platforms. The dynamic and evolving nature of the topology characteristics in Mobile Internet of Things networks adds complexity to addressing these issues. To overcome these challenges, we propose a software-defined MIoT model that effectively handles the dynamic and evolving network topology features, thereby enhancing the system’s flexibility and adaptability. Additionally, our model can provide communication security and privacy protection, particularly in emergency situations. In our scheme, the control plane is responsible for computing routes for online learning devices (OLDs) and forward entries for switches. By utilizing the information collected from OLDs and facilities, the controller is able to effectively coordinate the overall system. To ensure the authenticity and reliability of messages sent by OLDs, we have proposed a new signature and authentication mechanism based on traditional encryption algorithms. Moreover, we introduce an emergency-handling system that integrates multicast technology into software-defined MIoT, generating a Steiner Tree among impacted nodes to promptly notify OLDs when there is an emergency. The security analysis proves that our scheme is able to ensure communication security in software-defined MIoT. A performance evaluation indicates that our scheme outperforms other existing schemes.

show abstract

Section: Related Workmentioning

confidence: 99%

Secure Application of MIoT: Privacy-Preserving Solution for Online English Education Platforms

Cui

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Data mining is the process of extracting hidden and potentially useful information and knowledge from a large amount of incomplete, noisy, fuzzy, and random practical application data. The application of data mining in online course learning undoubtedly has practical significance, and the mined knowledge can help teachers complete higher-level decisions, Timely adjust the teaching structure and improve the content of online courses to improve teaching effectiveness [2,3]. This article first discusses common digital course teaching models and the main processes of existing feedback systems.…”

Section: Introductionmentioning

confidence: 99%

Feedback Analysis of Digital Course Teaching Effectiveness Based on Neural Network

2024

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

In order to provide timely and comprehensive interactive feedback on digital classroom teaching, a comprehensive evaluation of teaching feedback using BP neural network is proposed. Based on the characteristics of different evaluation subjects, the evaluation index system is chosen through a combination of questionnaire survey and expert evaluation method, and the main process plan for feedback analysis is provided. Then, the preprocessed dataset is divided into a training set and a testing set in a certain proportion. The indicator data generated during the learning process is imported into the trained neural network model for calculation, and the approximate performance score is acquired. Finally, a digital teaching evaluation model is established using MATLAB, and the specific analysis results of learning effectiveness are used to provide feedback on the teaching effectiveness of the course. The experimental results show that the accuracy of the proposed model reaches 95.98%, and the convergence curve is smooth, with overall performance superior to other similar models. Therefore, this plan is a good choice that can reasonably predict and effectively control teaching quality, effectively weakening the influence of human factors in determining indicator weights.

show abstract

Retracted: Online English Teaching System Based on Internet of Things Technology

Sensors

2023

Journal of Sensors

View full text Add to dashboard Cite

Online English Teaching System Based on Internet of Things Technology

Cited by 4 publications

References 20 publications

Secure Application of MIoT: Privacy-Preserving Solution for Online English Education Platforms

Secure Application of MIoT: Privacy-Preserving Solution for Online English Education Platforms

Feedback Analysis of Digital Course Teaching Effectiveness Based on Neural Network

Retracted: Online English Teaching System Based on Internet of Things Technology

Contact Info

Product

Resources

About