Design and simulation of autonomous learning platform for constructive English teaching based on artificial intelligence

Jia Zhongqi

doi:10.1117/12.2683093

16 June 2023 Design and simulation of autonomous learning platform for constructive English teaching based on artificial intelligence

Jia Zhongqi

Author Affiliations +

Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 127032G (2023) https://doi.org/10.1117/12.2683093
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China

Abstract

With the improvement of message and internet technique, college English education mode is also facing corresponding changes. It is the most important task of discipline research and improvement to actively combine with internet message technique, update and upgrade college English education technique in time, and effectively combine AI with college English education. The era of AI has come, and the improvement of education is inseparable from AI, and the reform of English education is also deeply influenced by it. AI enriches English education resources, changes teachers' education means and stimulates students' enthusiasm for learning. AI, as a new round of education technique reform, injects new vitality into education. By transferring human intelligence to intelligent machines, AI enables intelligent machines to make human-like thinking responses in different application scenarios. This research is based on AI, the design and simulation of autonomous learning platform for constructive English education. According to the research, this means is effective and suitable for being widely used.

Citation Download Citation

Jia Zhongqi "Design and simulation of autonomous learning platform for constructive English teaching based on artificial intelligence", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 127032G (16 June 2023); https://doi.org/10.1117/12.2683093

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