An empirical study of intelligent virtual universal learning platforms

Sakchai Chaiyarak, P. Nilsook, P. Wannapiroon
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引用次数: 3

Abstract

The modern world’s social systems are rapidly becoming more complex and humans need to adapt their learning strategies due to the development of advanced technology, such as artificial intelligence (AI), the internet of things (IoT) and virtual technology. Intelligent technology is able to promote smart modern education. This research aims to present the results of synthetic and intelligent virtual universal learning platforms. It consists of a review of universal designs for learning, intelligent learning systems and the virtual learning environment. The results of the research are as follows. An intelligent virtual universal learning model has three core components: the first is a universal learning process, the second is an intelligent learning system and the third is a virtual learning environment. Each section contains details of the sub-elements as follows: the universal learning process has three components: 1) engagement of the learners (Engagement); 2) clarification or demonstration of knowledge (Representation); and 3) the actions and expressions of the learners (Action and Expression). Each of these components has three sequences: access, build and internalize. An intelligent learning system has four components: 1) an intelligent learning system, 2) an automatic learners analysis system, 3) an intelligent knowledge presentation system and 4) an intelligent suggestion system. Finally, the virtual learning environment has five components: 1) virtual contents, 2) virtual learning activities, 3) virtual learners’ interaction, 4) virtual media and resources, and 5) virtual assessments.
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智能虚拟通用学习平台的实证研究
现代世界的社会系统正迅速变得越来越复杂,由于人工智能(AI)、物联网(IoT)和虚拟技术等先进技术的发展,人类需要调整自己的学习策略。智能技术能够推动现代智慧教育。本研究旨在展示综合智能虚拟通用学习平台的研究成果。它包括学习通用设计,智能学习系统和虚拟学习环境的回顾。研究结果如下:智能虚拟通用学习模型有三个核心组成部分:第一是通用学习过程,第二是智能学习系统,第三是虚拟学习环境。每一节包含子要素的详细内容如下:通用学习过程有三个组成部分:1)学习者的参与(engagement);2)对知识的澄清或论证(表述);3)学习者的动作和表情(动作和表情)。每个组件都有三个顺序:访问、构建和内部化。智能学习系统有四个组成部分:1)智能学习系统,2)自动学习者分析系统,3)智能知识呈现系统,4)智能建议系统。最后,虚拟学习环境有五个组成部分:1)虚拟内容,2)虚拟学习活动,3)虚拟学习者互动,4)虚拟媒体与资源,5)虚拟评估。
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