Construction of a New Interactive Teaching Model Based on Big Data
- DOI
- 10.2991/978-2-38476-178-4_18How to use a DOI?
- Keywords
- Data intelligence; flipped classroom; interactive teaching
- Abstract
The era of big data has arrived, and modern internet technology is becoming increasingly strong, which has brought huge challenges to college English teaching. The role of students in teaching has been strengthened, and the education system has also undergone a certain transformation. The transformation of the teaching environment in the context of big data is mainly reflected in the role of teachers, the dissemination of information age, and the improvement of students' self-learning ability. This paper focuses on the interactive mode of English mobile teaching in the context of big data, and combines it with flipped classrooms to design a flipped classroom teaching interaction model based on big data. The application effects of the model are discussed, and the methods to solve the drawbacks of traditional classroom education are explored, in order to provide a theoretical basis for future college English education.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Caimei Huang AU - Jianpeng He PY - 2023 DA - 2023/12/30 TI - Construction of a New Interactive Teaching Model Based on Big Data BT - Proceedings of the 2023 3rd International Conference on Social Development and Media Communication (SDMC 2023) PB - Atlantis Press SP - 137 EP - 144 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-178-4_18 DO - 10.2991/978-2-38476-178-4_18 ID - Huang2023 ER -