(270) SKILL MODELLING SOLUTIONS FOR ADAPTIVE LEARNING

机译：（270）适应学习技能建模解决方案

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Intelligent Tutoring Systems (ITSs) aim to provide personalized contents to students contributing to create an adaptive and innovative choice to learn. These contents are usually exercises. ITSs make use of different types of data, student models and mathematical and probabilistic algorithms to achieve the adaptation. One of the main information used for adaptation is the skills of the student. This paper makes a review of four main general methods used for skill modelling and adaptation: Knowledge Spaces, Item Response Theory, Bayesian Networks and semantic solutions. In addition, we provide examples about ITSs that use these techniques and analyze the advantages and disadvantages of each method.

机译：智能辅导系统（ITSS）旨在为学生提供个性化内容，为学习创造自适应和创新选择。这些内容通常是练习。其利用不同类型的数据，学生模型和数学和概率算法来实现适应性。用于适应的主要信息之一是学生的技能。本文审查了用于技能建模和适应的四种主要一般方法：知识空间，项目响应理论，贝叶斯网络和语义解决方案。此外，我们提供了关于其使用这些技术并分析每种方法的优缺点的示例。

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《International Technology, Education and Development Conference》|2017年|1 USB|共11页
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Ruth GonzAlez Novillo; Pedro J. Munoz-Merino; Carlos Delgado Kloos;
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中图分类 TB-532;
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item response theory; e-learning; Bayesian networks; knowledge spaces; intelligent tutoring systems; educational data mining; learning analytics.;

机译：项目响应理论;电子学习;贝叶斯网络;知识空间;智能辅导系统;教育数据挖掘;学习分析。;

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(270) SKILL MODELLING SOLUTIONS FOR ADAPTIVE LEARNING

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