数智化时代的深度学习:从浅层记忆走向深度理解

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

数智化时代技术的发展成熟对人类学习产生了深远影响,赋予了学习新的内涵与特征,面对复杂多变、充满挑战的现实世界,以重复记忆为主的浅层学习已然不能应对时代挑战,深度学习因此受到了极大关注。但什么是深度学习?如何实现深度学习?在学界认识不同,方法迥异。学习的本质是理解,理解是深度学习的表征形式,学习的深度就是理解的程度,数智化时代深度学习的实质是从浅层记忆走向深度理解。数智化时代促进深度理解的策略包括“促进深度理解的学习转型”“促进深度理解的技术赋能”以及“促进深度理解的教学设计”三个方面。深度理解视角为解读深度学习提供了全新的理论视角,为深入研究数智化时代深度学习的发生机制和技术对学习的作用奠定了理论基础。

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.