The future of random-seeded crystal learning in computer-aided instruction

S. H. Rubin
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Abstract

The US economy is undergoing a period of rapid change. A second industrial revolution is in process. The key to economic survival in these increasingly dynamic times is an educated workforce. The importance of mass education does not eclipse the need for customized education. Artificial intelligence technologies can drive multimedia systems, which can provide an unprecedented level of individual attention throughout the educational process. Such systems will present an exo-intelligence over the information superhighway. They will teach us how to learn more effectively. Random seeded crystal learning methodologies provide for interaction with the expert so as to amplify the basis knowledge, which is provided.
计算机辅助教学中随机晶体学习的未来
美国经济正在经历一个快速变化的时期。第二次工业革命正在酝酿之中。在这个日益变化的时代,经济生存的关键是受过良好教育的劳动力。大众教育的重要性并没有使定制教育的必要性消失。人工智能技术可以驱动多媒体系统,它可以在整个教育过程中提供前所未有的个人关注。这样的系统将在信息高速公路上呈现出一种外智能。他们会教我们如何更有效地学习。随机种子晶体学习方法提供了与专家的互动,以扩大所提供的基础知识。
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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