Design and Implementation of Japanese Online Learning System in Mixed Teaching Mode
- DOI
- 10.2991/978-94-6463-012-1_30How to use a DOI?
- Keywords
- Mixed Teaching Mode; Japanese; Online Learning; Web Technology; Java Programming
- Abstract
This paper uses Web technology to build a Japanese online learning system in mixed mode. The system is student-oriented, student-centered, and improves the one-sided evaluation of learning effect and single teaching mode in the teaching process. Among them, the system effect evaluation function needs to be realized by using tools such as Flume, HDFS, MapReduce, Spark and Java programming language in big data technology. The design of the system is not only conducive to stimulating students’ interest in learning, enhancing students’ ability to apply knowledge and teamwork spirit, but also conducive to improving students’ autonomous learning ability and creating a learning atmosphere, and ultimately improving students’ learning quality and comprehensive quality level. At the same time, it can help teachers accurately grasp students’ learning situation and help students to form objective learning evaluation.
- 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 - Fang He AU - Hui Sun PY - 2022 DA - 2022/12/09 TI - Design and Implementation of Japanese Online Learning System in Mixed Teaching Mode BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 264 EP - 272 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_30 DO - 10.2991/978-94-6463-012-1_30 ID - He2022 ER -