Journal of East China Normal University(Educational Sciences) ›› 2023, Vol. 41 ›› Issue (8): 53-62.doi: 10.16382/j.cnki.1000-5560.2023.08.006

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Deep Learning in the Age of Digital Intelligence: From Shallow Memory Towards Deep Understanding

Mingxuan Chen, Liang Zhou   

  1. Educational institute of Jiangnan University, Wuxi, Jiangsu, 214122, China
  • Online:2023-08-01 Published:2023-07-25


In the complex, changing and challenging real world, shallow learning based on repetitive memory is no longer able to meet the challenges of the times, so deep learning has received great attention. But what is deep learning? How to achieve deep learning? There are different understandings and different approaches in the academic community. The essence of learning is comprehension, and comprehension is the form of representation of deep learning, and the depth of learning is the degree of comprehension. The strategies to promote deep understanding in the era of digital intelligence include “learning transformation to promote deep understanding”, “technology empowerment to promote deep understanding” and “teaching design to promote deep understanding”. The three aspects provides a new theoretical perspective for interpreting deep learning, and lays a theoretical foundation for an in-depth study of the occurrence mechanism of deep learning and the role of technology on learning in the era of digital intelligence.

Key words: the age of digital intelligence, deep learning, deep understanding, understand, learning transformation