Study on the Application of Big Data Digital Evaluation System in the Teaching of Stomatology Practice
- DOI
- 10.2991/978-94-6463-230-9_82How to use a DOI?
- Keywords
- Application Research; Teaching of Stomatology Practice; Big Data Digital Evaluation System
- Abstract
Stomatology requires not only solid basic medical knowledge but also professional and meticulous clinical practice experience. Traditional stomatology teaching often results in teaching effects due to the limitations of subjective and objective factors, which cannot be tailored to the individual. In this article, relying on the big data digital evaluation system, the students of the Hunan University of Medicine were studied, and the actual operation of dental implant resin was performed by groups, and the teaching was scored. The experimental results show that after several rounds of training, the big data digital evaluation system helps to improve the teaching effect of stomatology, and has an advantage over teachers’ empirical instruction in terms of details.
- 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 - Guangye Zhao AU - Yepo Hou AU - Meiyu Xu AU - Chan Xiao AU - Qun Shu AU - Chunfeng Wang PY - 2023 DA - 2023/09/04 TI - Study on the Application of Big Data Digital Evaluation System in the Teaching of Stomatology Practice BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 685 EP - 692 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_82 DO - 10.2991/978-94-6463-230-9_82 ID - Zhao2023 ER -