Abstract
The advent of the “Internet + Education” era has brought smart education into a higher stage of development. Teachers’ intelligent learning is not only a technological change, but more importantly, integrating network thinking into the teacher’s learning. The concept of intelligent teaching allows students to learn more scientifically. English education is an important part of school education, which lays a good foundation for improving the overall quality of students. With the development of Internet technology, it provides a new platform for school English teaching. It provides favorable conditions for teacher-student interaction and improves the educational effect of school English and student learning. The purpose of this article is to study the construction strategy of smart English education platform from the perspective of “Internet + Education”. In terms of methods, this paper proposes the coexistence of multiple learning modes to improve the original learning mode, build a personalized, experiential teaching ecosystem, and realize two-way interaction between online and offline to better improve learning efficiency. And establish a teacher-student interaction communication platform, teachers can adjust their own teaching progress, content, methods, etc. based on the feedback of students in the discussion group. Install assisted composition correction software to reduce the burden on teachers, thereby spending more time and energy to educate students. In terms of experiments, through the establishment of experimental classes and control classes, teaching is carried out separately, and the examinations are conducted before and after teaching. Send a questionnaire at the end of the period to see its satisfaction. It is found that the teaching platform of Internet + Education proposed in this paper is superior to traditional teaching in terms of learning effect and students’ satisfaction with learning.
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Wei, Z. (2021). Construction Strategy of Smart English Teaching Platform from the Perspective of “Internet + Education”. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_18
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