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An evaluation framework based on timed automata for Malleable Learning Scenario

机译:基于时间自动机的可延展学习场景评估框架

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The evaluation of educational scenario is important to educators. It is one of the more challenging tasks that the pedagogical designer is faced with. In fact, the higher cost of the implementation of learning scenarios in distance learning and the complexity of their context and their functionalities emphasize the need to evaluate and to simulate them in order to detect potential inconsistencies and then to provide valuable feedback and recommendations to designers. For these reasons, we propose, in this paper, a framework based on Timed Automata Theory for Malleable Learning Scenarios. The evaluation framework is based on four elements: time, space, role and activity. These elements can be used in order to evaluate if or not our educational scenario reveals inconsistencies. The result of this formal evaluation could be greatly useful to designers in order to increase their understanding of the learner's behavior with the existing scenario by revealing ambiguities and incompleteness that might otherwise go undetected before starting the implementation. Thus, designers could return on the phase of design to add missing elements.
机译:对教育情景的评估对教育者很重要。这是教学设计人员面临的更具挑战性的任务之一。实际上,在远程学习中实施学习方案的成本较高,而且其上下文和功能的复杂性也凸显了对它们进行评估和模拟的必要性,以便发现潜在的不一致之处,然后向设计者提供有价值的反馈和建议。基于这些原因,我们在本文中提出了一种基于时间自动机理论的可延展学习场景框架。评估框架基于四个要素:时间,空间,角色和活动。可以使用这些元素来评估我们的教育场景是否显示出不一致之处。正式评估的结果可能对设计人员非常有用,以便通过揭示在开始实施之前可能无法发现的歧义和不完整之处,从而提高设计人员对现有场景下学习者行为的了解。因此,设计人员可以返回设计阶段以添加缺失的元素。

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