Impact of multimedia in learning profiles

Q3 Engineering
Ariel Zambrano, Daniela López De Luise
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引用次数: 1

Abstract

The present paper has as original contribution the definition of an automated model of the behaviour of a user against a certain type of images in a context of playful learning. Therefore, the entropy is used to classify profiles, starting from temporary information, which is mixed with certain characteristics previously extracted from the images. The aim of all this is to determine to what extent visual images trigger functions of comprehension and abstraction on topics of high degree complexity. Part of the obtained model is intended to generate learning profiles, which will enrich in the future with other non-invasive device, and to observe the behaviour of the user. For example: cameras, monitory keyboard, mouse and among others. The profiles are discovered and described with the minimum information needed. The collected information is processed with bio inspired techniques, which are essentially bases on 'deep learning' concept.
多媒体对学习概况的影响
本论文的原创性贡献是定义了用户在游戏学习背景下针对特定类型图像的行为的自动模型。因此,使用熵对轮廓进行分类,从临时信息开始,与先前从图像中提取的某些特征混合在一起。所有这一切的目的是确定视觉图像在多大程度上触发对高度复杂性主题的理解和抽象功能。获得的模型的一部分用于生成学习概况,以便将来与其他非侵入性设备一起丰富学习概况,并观察用户的行为。例如:摄像头、监控键盘、鼠标等。概要文件的发现和描述只需要最少的信息。收集到的信息是用生物启发技术处理的,这基本上是基于“深度学习”的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
92
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