Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

Construction and Practice of Smart English Classroom Based on the Internet of Things in China

Authors
Jixian Wang1, *, Jiajing Zheng1
1School of Foreign Languages, Huzhou University, Huzhou, China
*Corresponding author. Email: 01316@zjhu.edu.cn
Corresponding Author
Jixian Wang
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_163How to use a DOI?
Keywords
IoT; English teaching and learning; smart classroom design; Chinese undergraduate education
Abstract

With the popularity of Internet of Things (IoT), rapid educational information, digitization, intelligence and ecology are affecting all aspects of teaching and learning. The outbreak of the epidemic in early 2020 has made China’s online education show explosive growth, accelerated the formulation and implementation of online education security policies, and greatly improved the ability of teachers, students and teaching managers to apply information technology. The paper explores the theoretical foundations of Smart English Classroom Model based on IoT in terms of the teaching planing, process, production-oriented approach assessment and explains the application of those aspects by collecting and tracking the students’ electronic study data in the practice of a particular course of American Literature from teaching goals, specific unit designs, ideological and political elements and teachers and students’ feedback and comments. From the data analysis it can be seen that the American Literature course can cultivate the English independent speculative ability, interaction and communication, autonomous and mobile study ability of Chinese college undergraduates, which is of practical significance to the development of teaching theory and practice, to the reform of English teaching, to stimulate students’ discourse right and identity consciousness, to improve their creativity and imagination to better meet the requirements and challenges of the new social era of transition and globalization. The study intends to give guidance for instructors and researchers in higher education to grasp the intelligence or digital educational development and utilize smart classroom empowered by intelligent technology to update teaching practice.

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.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_163How to use a DOI?
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  - Jixian Wang
AU  - Jiajing Zheng
PY  - 2023
DA  - 2023/06/30
TI  - Construction and Practice of Smart English Classroom Based on the Internet of Things in China
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1488
EP  - 1499
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_163
DO  - 10.2991/978-94-6463-172-2_163
ID  - Wang2023
ER  -