Abstract

With the rapid advancement of information technology, the Internet and the web have become the central technology tools for information sharing in education and teaching. Modern education combines teaching with information technology and gives full play to the role of information technology in education and teaching. To improve the resource sharing and scheduling level a web-based college English-assisted teaching system is presented in this study. Using the JavaScript object notation syntax (JSON) as the data communication format between the intelligent terminal and the server, the system is implemented using a web server and mobile Android terminal, and a web-based data integration module is designed. Statistical data mining and fuzzy feature detection are employed to implement the decision-making scheduling and self-adaptive optimization of English teaching resources in a web aided English teaching system. The fusion particle swarm optimization algorithm is used to integrate English teaching resources and implement adaptive scheduling. To verify the application performance of the designed system, a simulation experiment is designed. The experimental results show that the proposed English-assisted instruction system has good convergence and high accuracy of learning information, optimal allocation, and scheduling.

Highlights

  • E evaluation of online teaching is different from traditional teaching, which mostly gives evaluation results through expert advice, which is subjective and not very objective. e traditional evaluation method involves collecting various teaching-related contents and material investment, wasting a lot of time and costs and creating too much overhead

  • Zhao and Guo [5] proposed a web-based teaching and evaluation system using campus network resources. e system was effective in promoting communication among teachers and students. e system was comprised of three-layer architecture and provided administrator management, exam settings, test questions, teaching evaluation, and students’ learning functions

  • Using JavaScript object notation syntax (JSON) as the data communication format between the intelligent mobile Android terminal and the server, the system is implemented by using mobile Android terminal and web, and a web-based data integration module is designed. rough the fusion of particle swarm optimization, the adaptive scheduling of English teaching resources in colleges and universities is realized. e experimental results show that the proposed system has better convergence, and the allocation and scheduling of English teaching resources are more effective and practical

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Summary

Hardware Design

To meet the needs of the college English course teaching system, teachers use the server to interact with the students, such as checking the students’ attendance, pushing the questions, and supervising the learning. E client is mainly employed to provide online interaction between students and teachers, which is composed of three functional modules: scanning two-dimensional code, classroom interaction, and offline login. Erefore, this study designs a web interface server architecture with a multiarchitecture mod that can effectively face the complexity and diversity of English teaching data. Processor server is 3.4 GHz, and it has 64 GB of operation space It has 5 TB backup storage space for college English teaching data. E front end is mainly responsible for receiving and sending data, and the back end is used for network perception and adjustment of teaching data in the process of interactive integration.

Software Design
Experimental Setup and Validation
Findings
Conclusion
Full Text
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