Adaptive neuro-fuzzy pedagogical recommender

Zoran Sevarac; Vladan Devedzic; Jelena Jovanovic

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Adaptive neuro-fuzzy pedagogical recommender

机译：自适应神经模糊教学推荐者

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Neuro-Fuzzy Pedagogical Recommender (NFPR) is adaptive recommender based on neuro-fuzzy inference, that can be used to create pedagogical rules in Technology Enhanced Learning (TEL) systems. NFPR is domain independent, provides easy to use API for integration with other systems, and comes with specialized tool (wizard) for creation of NFPR software components. The most important feature of NFPR is its flexibility, that allows teachers to create their own set of pedagogical rules. The proposed model has been implemented and tested with simulated data. Our effort in bringing neuro-fuzzy recommender to the field of TEL (Technology Enhanced Learning) seems to be the first attempt of its kind.

机译：神经模糊教学推荐员（NFPR）是基于神经模糊推理的自适应推荐器，可用于在技术增强学习（TEL）系统中创建教学规则。 NFPR是独立于域的，提供易于使用的API与其他系统集成，并带有用于创建NFPR软件组件的专用工具（向导）。 NFPR的最重要特征是它的灵活性，它允许教师创建自己的一套教学规则。所提出的模型已经实现并通过模拟数据进行了测试。我们将神经模糊推荐器引入TEL（技术增强学习）领域的努力似乎是此类尝试。

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来源
《Expert Systems with Application》 |2012年第10期|p.9797-9806|共10页
作者
Zoran Sevarac; Vladan Devedzic; Jelena Jovanovic;
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作者单位

Department of Software Engineering, Faculty of Organizational Sciences, University of Belgrade, Jove llica 154, U000 Belgrade, Serbia;

Department of Software Engineering, Faculty of Organizational Sciences, University of Belgrade, Jove llica 154, U000 Belgrade, Serbia;

Department of Software Engineering, Faculty of Organizational Sciences, University of Belgrade, Jove llica 154, U000 Belgrade, Serbia;

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正文语种 eng
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关键词
E-learning; recommender systems; neural networks; fuzzy logic;

机译：电子学习;推荐系统;神经网络;模糊逻辑;

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Adaptive neuro-fuzzy pedagogical recommender

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