Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

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Japanese Online and Offline Hybrid Teaching-Learning Analysis Model Built on Big Data Technology

Authors
Jingshu He1, *
1Foreign Languages School, Sichuan University Jinjiang College, Meishan, 620860, Sichuan, China
*Corresponding author. Email: 249392550@qq.com
Corresponding Author
Jingshu He
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_43How to use a DOI?
Keywords
big data technology; learning analysis model; Japanese language teaching; Blended Learning
Abstract

Modern society has embraced the use of big data technology in all spheres of existence. Modern education technology has advanced and developed as a result of the big data era's emergence. The use of information technology for learning analytics has significantly changed teaching and learning in the age of big data in education, offering a fresh viewpoint on the development of new educational innovations. The use of this technology provides precise analysis of large-scale learners’ behavior, cognition, psychology, and emotion. This paper intends to build a learning analysis model for blended university Japanese language teaching based on big data technology from data sources, data analysis, and mining, and application of data visualization techniques to help Japanese language education and students improve teaching and learning and improve teaching quality by analyzing learning behaviors. In contemporary times, the application of big data technology has penetrated into all walks of life. The advent of the era of big data has also brought new changes and promoted the development of Japanese language teaching and learning.

Copyright
© 2022 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 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_43
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_43How to use a DOI?
Copyright
© 2022 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

risenwbib
TY  - CONF
AU  - Jingshu He
PY  - 2022
DA  - 2022/12/27
TI  - Japanese Online and Offline Hybrid Teaching-Learning Analysis Model Built on Big Data Technology
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 327
EP  - 334
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_43
DO  - 10.2991/978-94-6463-044-2_43
ID  - He2022
ER  -