The Role Mechanism and Optimization Path of Digital Technology-Driven Smart Teaching System Construction
Author:
Affiliation:
1. School of Agriculture and Biological Engineering , Heze University , Heze , Shandong , , China .
2. Shuozhou Meteorological Bureau , Shuozhou , Shanxi , , China .
3. Xi’an ZTE New Software Co., LTD ., Xi’ an , Shaanxi , , China .
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/amns-2024-0843
Reference21 articles.
1. Jia, Z. (2022). Designing an intelligent teaching system of chinese as a foreign language under the internet background. Scientific programming(Pt.15), 2022.
2. Myers, M. H. (2021). Automatic detection of a student’s affective states for intelligent teaching systems. Brain Sciences, 11(3), 331.
3. He, H. L. W. (2020). Intelligent teaching ability of contemporary college talents based on bp neural network and fuzzy mathematical model. Journal of intelligent & fuzzy systems: Applications in Engineering and Technology, 39(4Pta1).
4. Jiang, S. F., & Cui, Y. Y. (2013). Research and practice on data analysis evaluation technique of intelligent teaching-management based on d-m theory. Applied Mechanics & Materials, 397-400, 2705-2708.
5. Lyu, D., & Wang, Z. (2021). Design and implementation of an intelligent classroom teaching system for music class based on Internet of things. International Association of Online Engineering (IAOE)(18).
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