基于本体理论与项目反应理论在计算机自适应测试中的比较

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI:10.1109/INTELCIS.2015.7397220

E. Khater, A. Hegazy, M. E. Shehab

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引用次数: 0

摘要

适应性电子学习关注的是学生的技能和偏好。关于适应性考试系统的一些研究。本体可以在电子学习系统中用于组织和描述知识，并支持内容管理。将本体与CAT系统相结合，有助于在内容语义上对考试内容进行控制。本文提出了一种基于本体的自适应比较系统结果与IRT结果- CAT主模型-提供了关于系统在IRT方面的可靠程度的准确信息。

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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Comparing ontology-based and Item response theory in computer adaptive test

Adaptive e-learning is concerning about students' skills and preferences. A few researches concerning about adaptive examination systems. Ontologies can be used in e-learning systems to organize and describe knowledge and to support content management. Combining ontology with CAT systems helps to control the exam content regarding content semantics. This paper propose an ontology based adaptive Comparing system's results with IRT results -The CAT major model- provide an exact information about how far the system is reliable regarding the IRT.

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2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)

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