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Management of Latent Learning Needs in Adaptive e-Learning Systems

机译:自适应电子学习系统中潜在学习需求的管理

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摘要

The construction of personalized courses taking into account needs and preferences of each learner is one of the most studied topics within the field of adaptive learning systems. Such systems assume that learning needs are well know by the teacher or, in self directed learning settings, that learners can easily determine and express own needs. Nevertheless, in real situations, learning needs often remain latent and, for this reason, unsatisfied. To overcome this limitation we propose in this paper a methodology and a prototype system enabling the elicitation of latent learning needs, as well as the automatic generation of learning experiences capable of satisfying such needs. The proposed methodology applies principles of recommending systems and also relies on a semantic representation of topics to be taught. The encouraging experimental results obtained with University students are also discussed.
机译:考虑到每个学习者的需求和喜好的个性化课程的建设是自适应学习系统领域中研究最多的主题之一。这样的系统假设教师已充分了解了学习需求,或者在自我指导的学习环境中,学习者可以轻松确定并表达自己的需求。然而,在实际情况下,学习需求通常仍然很隐秘,因此,人们对此感到不满意。为了克服这一局限性,我们在本文中提出了一种方法和原型系统,可以激发潜在的学习需求,并能够自动生成满足这些需求的学习经验。所提出的方法学应用了推荐系统的原理,并且还依赖于要教授的主题的语义表示。还讨论了大学生获得的令人鼓舞的实验结果。

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