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1. chinaXiv:201811.00011 [pdf]

一图抵千言:多媒体学习中的自我生成绘图策略.pdf

王燕青; 王福兴; 谢和平; 陈佳雪; 李文静; 胡祥恩
分类: 心理学 >> 教育心理学

自我生成绘图是指学生使用可视化的学习方法绘制一幅能反映每一段文字中重要观点的图画, 通过图文结合的方式来促进学习的一种策略。综述以往研究发现, 先前研究通过操纵文本、动画等学习材料来考察自我生成绘图在学习中的作用, 发现自我生成绘图的效果并不稳健:一方面它可以通过提高学生的认知和元认知能力、激发积极的情感状态而提高学习效果, 得到了绘图建构生成理论和多媒体学习认知理论的支持;另一方面也可以通过增加认知负荷而阻碍学习, 得到了认知负荷理论的支持。整体而言, 自我生成绘图策略还是有利于学习的, 已有研究在学习效果上的效应量中值为d保持 = 0.13, d理解 = 0.46, d迁移 = 0.38。未来的研究仍需要关注自我生成绘图策略的材料操纵、效果评定以及潜在变量等等。

提交时间: 2018-11-07 点击量109下载量31 评论 1

2. chinaXiv:201803.01556 [pdf]

Gibbsian representation of knowledge in infinite dimensional random neural networks(IDRNN)

xi guangcheng
分类: 数学 >> 统计和概率

Abstract. In studying of a class of random neural network, some of relative researchers have proposed Markov model of neural network. Wherein Markov property of the neural network is based on “assuming”. To reveal mechanism of generating of Markov property in neural network, it is studied how infinite-dimensional random neural network (IDRNN) forms inner Markov representation of environment information in this paper.Because of equivalence between markov property and Gibbsian our conclusion is that knowledge is eventually expressed by extreme Gibbs probability measure—ergodic Gibbs probability measure in IDRNN. This conclusion is also applicable to quantum mechanical level of IDRNN. Hence one can see “ concept “- “ consciousness” is generated at particle(ion) level in the brain and is experienced at the level of the neurons; We have discussed also ergodicity of IDRNN with random neural potential.

提交时间: 2018-11-07 点击量510下载量288 评论 0

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