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Design of English online teaching quality evaluation model based on web embedded system and machine learning

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Abstract

Online education systems have emerged as a new form of education, which has greatly transformed the traditional way of education. This new teaching method provides face-to-face education through live broadcasts over the internet, expanding the boundaries of traditional teaching methods. Moreover, it has improved teaching efficiency and solved the limitation of teaching space, making it an effective supplement to traditional teaching methods. This paper proposes an online English teaching quality evaluation method based on online embedded systems and instrument learning. This method is designed to provide an objective and efficient evaluation of the teaching quality of online English courses. Based on the actual needs of network teaching, this paper has designed a general online English teaching system that includes system management, online education, online examination, resource management, teacher management, and student management functions. This system has been fully tested and proven to meet the needs of network education, which has significantly improved the quality of education. The system is highly scalable and can be easily customized according to the specific requirements of different institutions.

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Funding

This paper was supported by Inner Mongolia Education Department project: College Foreign Language Teaching and Reform based on POA in Local Universities under the background of "Golden Curriculum" – A case study of Chifeng University, NJSY22161.

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Authors and Affiliations

  1. School of Foreign Languages, Chifeng University, Chifeng, 024000, Inner Mongolia, China

    Guoyan Ruan

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  1. Guoyan Ruan
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Correspondence to Guoyan Ruan.

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Ruan, G. Design of English online teaching quality evaluation model based on web embedded system and machine learning. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08867-6

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