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Towards an Evolution of E-Learning Recommendation Systems: From 2000 to Nowadays

机译:走向电子学习推荐系统的演变:从2000年到现在

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In e-learning, recommendation systems have proven to be highly efficient for improving learners' performance and knowledge. They can manage the different pedagogical resources and simplify the workload for the instructor and learners as well. Throughout the years, recommendation systems in e-learning have wit-nessed a major evolution since the 2000s. Several aspects have been developed, including techniques involved, test data (...). In this respect, this paper analyses the evolution of recommendation systems in e-learning since 2000 with a focus on the evolution sides. It furthermore addresses areas not fully addressed to date. A set of recommendation systems is identified and then analysed in order to define techniques used, as well as algorithms deployed.
机译:在电子学习中,推荐系统已被证明是改善学习者的表现和知识的高效。 他们可以管理不同的教学资源,并简化了教练和学习者的工作量。 全年,自2000年代以来,电子学习中的建议制度有所帮助。 已经开发了几个方面,包括所涉及的技术,测试数据(...)。 在这方面,本文自2000年以来分析了电子学习中推荐系统的演变,重点关注进化侧面。 此外,它处理了迄今未完全解决的区域。 识别一组推荐系统,然后分析以定义所使用的技术,以及部署的算法。

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