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An E-learning Model based on Dynamic Qualitative Constraint Networks

机译:一种基于动态定性约束网络的电子学习模型

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This paper presents a new approach to model the core part of an e-learning process. The formal modeling we use relies on Allen's Interval Algebra to build the qualitative constraints networks [I]. With the corresponding intervals, we could represent the conditional sequence of activities the learner is expected to conduct in order to complete a particular course. We propose temporal representation of learning activities and we build the constraints satisfaction problem network according to the activation constraints of learning activities and the activation conditions. The algorithm demonstrates the consistency of the corresponding network and provides the learners with learning scenarios they may take during a particular material learning process.
机译:本文介绍了模拟电子学习过程的核心部分的新方法。我们使用的正式建模依赖于Allen的间隔代数来构建定性约束网络[i]。通过相应的间隔,我们可以代表学习者预期进行学习者进行的条件序列,以便完成特定课程。我们提出了学习活动的时间表示,并根据学习活动的激活约束和激活条件构建约束满足问题网络。该算法演示了相应网络的一致性,并为学习者提供学习场景,他们可以在特定的材料学习过程中采取。

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