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International Journal of New Developments in Education, 2023, 5(25); doi: 10.25236/IJNDE.2023.052516.

Study on correlation model between case teaching and deep learning

Author(s)

Huanbin Wang, Shitao Chen, Yangjun Gao

Corresponding Author:
Huanbin Wang
Affiliation(s)

College of Equipment Management and Unmanned Aerial Vehicle Engineering of Airforce Engineering University, Xi’an, Shaanxi, 710051, China

Abstract

Deep learning requires learners to establish connections between old and new knowledge and experience, learn and reflect critically, and construct personal knowledge systems, which is highly consistent with the concept and characteristics of case teaching. This paper first analyzes the concept connotation and characteristics of deep learning, and studies the correlation between case teaching and deep learning. Secondly, a deep learning process model based on the case is established, and the execution process of the model is analyzed in detail according to the division of prediction, process and result. Finally, the characteristics of case-based deep learning process model are summarized.

Keywords

case teaching; deep learning; process model; knowledge transformation

Cite This Paper

Huanbin Wang, Shitao Chen, Yangjun Gao. Study on correlation model between case teaching and deep learning. International Journal of New Developments in Education (2023) Vol. 5, Issue 25: 87-91. https://doi.org/10.25236/IJNDE.2023.052516.

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