Intelligent methodologies and technologies for e-learning

Abdel-Badeeh M. Salem
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引用次数: 5

Abstract

In the last years artificial intelligence (AI) approaches have been proposed by the knowledge engineers in the context of e-learning technologies. These approaches offer intelligent methodologies, techniques, and algorithms that can help solving problems in a variety of education/learning/training domains. These techniques have been successfully used in solving many of the e-learning problems. On the other side, the convergence of AI technologies, educational technologies and web technologies is enabling the creation of web-based intelligent e-learning technology. In recent years, network-based teaching and learning has become widespread, with bespoke solutions by individual institutions and standardizing initiatives for learning technologies. Such technologies will provide a unique opportunity to distribute learning/education/training across multiple sites while dramatically reducing travel related costs. This talk introduces some of AI approaches to knowledge-based systems from the literature and the research results of the author and his colleagues that have been carried out in recent years on developing intelligent e-Learning systems in medical domain as an example.
电子学习的智能方法和技术
在过去的几年里,知识工程师在电子学习技术的背景下提出了人工智能(AI)方法。这些方法提供了智能的方法、技术和算法,可以帮助解决各种教育/学习/培训领域的问题。这些技术已经成功地用于解决许多电子学习问题。另一方面,人工智能技术、教育技术和网络技术的融合正在催生基于网络的智能电子学习技术。近年来,基于网络的教学和学习已经变得普遍,个别机构有定制的解决方案,学习技术的标准化举措。这些技术将提供一个独特的机会,在多个地点分发学习/教育/培训,同时大大降低与旅行相关的成本。本讲座从文献和作者及其同事近年来在医学领域开发智能电子学习系统的研究成果中介绍了一些基于知识系统的人工智能方法。
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