期刊文献+

转化学习理论视域下虚拟学习共同体中深度学习发生机制设计

Design on the Occurrence of Deep Learning Mechanism in virtual Learning Community Based on the Transformative Learning Theory
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摘要 深度学习指要求学习者能够批判性地进行学习,反思自身原有的认知结构并在此基础上建构新知识的一种学习方式,它有利于培养学习者的高级思维能力。在终身学习的大背景下,学习者要不断提升自己的学习层次,适应新情况,探索新问题,拥有较强的学习能力,因而深度学习的教学价值潜力不言而喻。在转化学习理论的指导下,借助学习共同体环境,对深度学习的发生机制进行了设计,期望引导学习者在解决问题的过程中提升学习能力。 Deep learning is a way of learning that requires learners to be able to critically reflect on their own original cogni- tive structure and to learning on the basis of the construction of new knowledge. It is helpful to cultivate the learner's high- level thinking ability. In the context of lifelong learning, learners need to improve their learning level,他 to adapt to the new situation, to explore new problems, and to have strong learning ability. Thus, the teaching value of deep learning po- tential is self-evident. In this paper, under the guidance of Transformative learning theory and with the help of a learning community , we designed the mechanism of deep learning to guide the learners improve the learning ability in the process of problem solving.
作者 马芳芳 杨静
出处 《软件导刊》 2014年第1期101-103,共3页 Software Guide
关键词 转化学习理论 虚拟学习共同体 深度学习 学习发生机制 Transformation of Learning Theory Virtual Learning Community Deep Learning Learning Mechanism
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