A pragmatic use of Semantic Web technologies for preschool cognitive skills tutoring system

M. A. Abbas, W. Ahmad, K. Kalid
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引用次数: 2

Abstract

Primarily preschool cognitive skills are abilities of acquiring generic knowledge. Generic knowledge is said to be the knowledge about kinds of things. Currently these cognitive skills are taught through the use of pre-authored (in the form of books or worksheets) learning contents containing the objects and concepts of the real world. This method of teaching is known as instructional pedagogy that has several limitations such as it require specialized skills and a large amount of time for content authoring, thinking and dedication and it does not support individualized learning. As a remedy to the limitations of instructional pedagogy, constructive pedagogical method provides learning through exploration. The present work proposes an intelligent tutoring system (ITS) that follows the constructive approach for preschool cognitive skills tutoring. The proposed ITS uses the Semantic Web technologies namely Ontologies and Semantic Web Rule Language (SWRL) for the construction of a rule-based ITS. The reason is, Ontologies natively (by definition) provides a formal explicit way of modeling concepts in a domain of discourse specially the real world objects and also support rule base reasoning. Finally shortcomings of the existing knowledge sources (ontologies) and step by step processing of the inference engine to generate learning contents is provided in the present work.
语义Web技术在学前认知技能辅导系统中的语用应用
学前认知技能主要是获得一般知识的能力。一般知识被认为是关于各种事物的知识。目前,这些认知技能是通过使用预先编写的(以书籍或工作表的形式)学习内容来教授的,这些内容包含现实世界的对象和概念。这种教学方法被称为教学教学法,它有一些局限性,比如它需要专门的技能和大量的时间来创作内容、思考和奉献,而且它不支持个性化学习。建构性教学法是一种弥补教学法局限性的方法,它使学生在探索中学习。本研究提出了一个遵循建构性方法的学前认知技能智能辅导系统。本文提出的智能交通系统采用语义网本体技术和语义网规则语言(SWRL)构建基于规则的智能交通系统。原因是,本体论本身(根据定义)提供了一种形式化的显式方式来对话语领域中的概念进行建模,特别是对现实世界中的对象进行建模,并且还支持规则库推理。最后指出了现有知识来源(本体)和推理机逐步生成学习内容的不足之处。
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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