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首页> 外文期刊>International Journal of Recent Contributions from Engineering, Science & IT >A Bayesian Network Based on the Differentiated Pedagogy to Generate Learning Object According to FSLSM
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A Bayesian Network Based on the Differentiated Pedagogy to Generate Learning Object According to FSLSM

机译:基于差异化教学的贝叶斯网络根据FSLSM生成学习对象

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摘要

In this paper we propose a model that generates learning objects in an adaptive learning system according to the Felder-Silverman learning styles, based on the Bayesian networks and taking into consideration the recommendations of the differentiated pedagogy which requires creating multiple versions of the same learning object. The proposed model includes also correcting the non-learning paths which is the main reason behind the choice of versioning the learning objects.
机译:在本文中,我们提出了一个模型,该模型基于贝叶斯网络并根据区分教学法的建议(需要创建同一学习对象的多个版本),根据Felder-Silverman学习风格在自适应学习系统中生成学习对象。 。所提出的模型还包括纠正非学习路径,这是选择对学习对象进行版本控制的主要原因。

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