基于深度学习理论的研究生学习活动设计

Wang Huanbin, Wang Cuilu
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引用次数: 0

摘要

在深度学习方面,学习者在真实的学习情境中对信息和经验进行深度挖掘和加工,实现知识的转化和转移,提高解决问题的能力,最终促进学习目标的实现和高级思维能力的发展。本文首先分析了深度学习的概念和特点,并将深度学习与表面学习进行了比较。其次,根据深度学习理论的内涵特点,给出了深度学习的一般过程。最后,提出了一种分四个阶段的深度学习活动设计方法。这四个阶段构成了深度学习过程的循环链。学习过程具有很强的可操作性,可以在具体的教学课堂上为教师提供实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Postgraduate Study Activities Based on Deep Learning Theory
In terms of deep learning, learners conduct in-depth mining and processing of information and experience in real learning situations, realize the transformation and transfer of knowledge, improve the ability to solve problems, and ultimately promote the realization of learning goals and the development of advanced thinking ability. This paper first analyzed the concepts and characteristics of deep learning, and compared deep learning with surface learning. Secondly, according to the connotative characteristics of deep learning theory, the general process of deep learning was given. Finally, a deep learning activity design with four stages was proposed. The four stages constitute the cyclic chain of the deep learning process. The learning process is highly operable and can provide practices for teachers in specific teaching classes.
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