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Identification and modeling of the skills within MOOCs

机译:MOOCS中技能的识别和建模

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The MOOCs (Massive Open Online Courses) represent a category in the frame of TEL (Technology Enhanced Learning) particularly fashionable today since they allow the largest number of learners to access specific teachings. However, the principle of proposing very sequential and linear pedagogical paths is not attractive enough. In fact, the low success rate shows that it is necessary to maintain the motivation and attractiveness of the learner according to his learning progress. In this context, we propose in this article, an approach concerning paths' flexibility within a MOOC that can meet the needs of the learner. In fact, our proposed approach relies on a retroaction cycle around the learners' global representation (skills, sociological characteristics, practices). The elaborated proposals in this paper were experimented in a new MOOC platform: Claroline Connect.
机译:MOOCS(大规模开放的在线课程)代表Tel(技术增强学习)框架中的一个类别,特别是当今他们允许最多的学习者访问特定的教导。然而,提出非常顺序和线性教学路径的原理不够有吸引力。事实上,较低的成功率表明,根据他的学习进步,有必要保持学习者的动力和吸引力。在这篇背景下,我们提出了本文,一个关于MOOC内部灵活性的方法,可以满足学习者的需求。事实上,我们提出的方法依赖于学习者的全球代表(技能,社会学特征,实践)周围的逆时期周期。本文的详细提案在新的MoOC平台上进行了实验:Claroline Connect。

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