Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

August 7, 2023


Pages


DOI

Article

Research on the construction and sustainable development of online teaching model for universities based on deep learning


Authors

Yu Zhou Affiliation:
Shaoyang University, Shaoyang, Hunan, 422000, China


Abstract

The worldwide outbreak and pandemic of the New Crown Pneumonia epidemic in 2020 spawned changes in higher education, the most obvious of which was the shift from offline to online teaching models. In this paper, we view online teaching practice activities during the epidemic as a complete dissemination process and systematically study online teaching models in higher education based on convolutional neural network theory. By interpreting the interview records of 100 university teachers interviewed, we can get that 34% of teachers consider themselves as the role of sharers, 29% consider themselves as the leader of students on the learning path, and 24% consider themselves as the role of nurturer for students. Meanwhile, dozens more teachers positioned themselves in various roles that distinguished them from their usual educator roles. From the above data, we can see that the online teaching model has promoted the transformation of teachers’ roles, which is conducive to the development of online teaching and more conducive to promoting the sustainable development of online teaching.


Keywords

Deep learning, Convolutional neural network, Online teaching, 68M01


Citation

Zhou, Y. (2023). Research on the construction and sustainable development of online teaching model for universities based on deep learning. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00142

Published by: Engineering Journals

Engineering Journals Logo